From dec57bb24fd959f66d344690d9ce79defdd13a65 Mon Sep 17 00:00:00 2001 From: homen Date: Sat, 5 Sep 2026 03:48:15 -0700 Subject: [PATCH] fix(ui): keep enlarged header links visible --- .tours/03-debug-and-recovery.tour | 2 +- HANDOFF.md | 13 +- docs/codebase/TESTING.md | 2 +- e2e/header-reflow-proof.mjs | 87 + .../header-reflow-20260905/.gitattributes | 1 + ...E6f-nodeagent-HANDOFF-before-header.md.txt | 38 + .../after-1024-text-100.html | 271 + .../after-1024-text-100.json | 94 + .../after-1024-text-100.png | Bin 0 -> 76062 bytes .../after-1024-text-200.html | 271 + .../after-1024-text-200.json | 94 + .../after-1024-text-200.png | Bin 0 -> 135353 bytes .../after-1440-text-100.html | 271 + .../after-1440-text-100.json | 94 + .../after-1440-text-100.png | Bin 0 -> 84358 bytes .../after-1440-text-200.html | 271 + .../after-1440-text-200.json | 94 + .../after-1440-text-200.png | Bin 0 -> 142681 bytes .../after-1920-text-100.html | 271 + .../after-1920-text-100.json | 94 + 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evidence/header-reflow-20260905/README.md create mode 100644 evidence/header-reflow-20260905/manifest.json diff --git a/.tours/03-debug-and-recovery.tour b/.tours/03-debug-and-recovery.tour index 9a866b6..2dcffb4 100644 --- a/.tours/03-debug-and-recovery.tour +++ b/.tours/03-debug-and-recovery.tour @@ -23,7 +23,7 @@ }, { "file": "src/app/styles.css", - "line": 216, + "line": 217, "anchor": "@media (max-width: 960px)", "description": "The site of defect D1. This block used to say `.na-rail { display: none }`. CSS owned visibility, React owned mounting and gated on data — so a WebGL renderer was mounted into a 0x0 box, threw, and took the app down. The rail is now a bottom panel instead: one owner, no hidden-but-mounted state." }, diff --git a/HANDOFF.md b/HANDOFF.md index 7be87f4..87cfc44 100644 --- a/HANDOFF.md +++ b/HANDOFF.md @@ -1,6 +1,6 @@ # NodeAgent developer handoff -Read this file first, then [the runtime walkthrough](docs/START_HERE.md). This review candidate starts from canonical `4e525fd0`. The separately preserved Pi draft is not integrated. Independent source and installed-consumer review passes for the bounded slice below. The [portable judgment](evidence/current-consumer-20260905/judge/E6e_NODEAGENT_CURRENT_CONSUMER_FINAL_JUDGE.md.txt), manifest and Git history identify the reviewed implementation and its later publication metadata. +Read this file first, then [the runtime walkthrough](docs/START_HERE.md). The current consumer/recovery repair merged in PR4 at canonical `5362505`; the source-header follow-on below starts from that exact revision. The separately preserved Pi draft is not integrated. Independent source and installed-consumer review passes for the bounded slice below. The [portable judgment](evidence/current-consumer-20260905/judge/E6e_NODEAGENT_CURRENT_CONSUMER_FINAL_JUDGE.md.txt), manifest and Git history identify the reviewed implementation and its later publication metadata. A developer can run the repository's local scenario and generate a separate chat application without credentials. Both chats use scripted local adapters; displayed confidence numbers come from fixtures. Their browser conversations reset on reload. The library's durable/SQLite demonstration is a separate integration and does not persist either browser chat. @@ -30,9 +30,16 @@ node e2e/current-consumer-recovery-proof.mjs "" "" after` after installing the checked-in dependencies and Chromium. The source-bound record and Git history identify this follow-on's eventual commit; no production deployment is claimed. diff --git a/docs/codebase/TESTING.md b/docs/codebase/TESTING.md index 94b3169..4ef6513 100644 --- a/docs/codebase/TESTING.md +++ b/docs/codebase/TESTING.md @@ -50,7 +50,7 @@ from `src/`. See `docs/SIMPLIFICATION_REPORT.md`. For the browser gate, the equivalent is to re-hide the graph rail on narrow screens (`src/app/styles.css`, the `@media (max-width: 960px)` block at line -181). `e2e/capture-journey-at-width.mjs` asserts the graph canvas is not +217). `e2e/capture-journey-at-width.mjs` asserts the graph canvas is not zero-width — the *cause* of defect D1, not its symptom — so any mechanism that re-hides the rail turns the gate red. diff --git a/e2e/header-reflow-proof.mjs b/e2e/header-reflow-proof.mjs new file mode 100644 index 0000000..60894b1 --- /dev/null +++ b/e2e/header-reflow-proof.mjs @@ -0,0 +1,87 @@ +import fs from 'node:fs/promises'; +import path from 'node:path'; +import assert from 'node:assert/strict'; +import {createRequire} from 'node:module'; +import {pathToFileURL} from 'node:url'; +import {createHash} from 'node:crypto'; +import {execFileSync} from 'node:child_process'; +const root=path.resolve(process.argv[2]??''); +const output=path.resolve(process.argv[3]??''); +const phase=process.argv[4]; +assert.ok(process.argv[2] && process.argv[3] && ['before','after'].includes(phase)); +await fs.mkdir(output,{recursive:false}); +const require=createRequire(path.join(root,'package.json')); +const {chromium}=require('playwright'); +const {createServer}=await import(pathToFileURL(require.resolve('vite')).href); +const sha=b=>createHash('sha256').update(b).digest('hex'); +const files=['src/app/styles.css','src/features/node-agent/components/NodeAgentDemoApp.tsx','src/features/node-agent/components/NodeAgentThread.tsx','src/features/node-agent/runtime/nodeAgentChatAdapter.ts','package.json','package-lock.json']; +const hashes=async()=>Object.fromEntries(await Promise.all(files.map(async f=>[f,sha(await fs.readFile(path.join(root,f)))]))); +const report={proof:'NODEAGENT-ENLARGED-HEADER-01',phase,at:new Date().toISOString(),head:execFileSync('git',['rev-parse','HEAD'],{cwd:root}).toString().trim(),sourceBefore:await hashes(),checks:[],cells:[],error:null,fullGrades:null}; +function check(name,passed){report.checks.push({name,passed:Boolean(passed)});assert.ok(passed,name);} +let server,browser; +try{ + server=await createServer({root,envDir:false,server:{host:'127.0.0.1',port:0,strictPort:true,open:false}}); + await server.listen(); + const address=server.httpServer.address(); + const base=`http://127.0.0.1:${address.port}`; + browser=await chromium.launch({headless:true}); + report.browser=browser.version(); + for(const width of [320,390,768,1024,1440,1920])for(const scale of [1,2]){ + const context=await browser.newContext({viewport:{width,height:900},reducedMotion:'reduce'}); + const page=await context.newPage(); + const errors=[];page.on('pageerror',e=>errors.push(String(e))); + await context.route('**/*',route=>{const u=new URL(route.request().url());return u.origin===base||['fonts.googleapis.com','fonts.gstatic.com'].includes(u.hostname)?route.continue():route.abort();}); + await page.goto(base,{waitUntil:'networkidle'}); + await page.locator('.na-appbar').waitFor(); + await page.evaluate(()=>document.fonts.ready); + const fonts=await page.evaluate(()=>({ready:document.fonts.status,manrope:document.fonts.check('14px Manrope'),mono:document.fonts.check('11px "JetBrains Mono"')})); + if(scale===2)await page.evaluate(()=>{ + const list=Array.from(document.querySelectorAll('body,body *')).map(e=>({e,size:parseFloat(getComputedStyle(e).fontSize)})); + for(const {e,size}of list)if(Number.isFinite(size))e.style.fontSize=`${size*2}px`; + }); + await page.evaluate(()=>new Promise(r=>requestAnimationFrame(()=>requestAnimationFrame(r)))); + const state=await page.evaluate(()=>{ + const box=e=>{const r=e.getBoundingClientRect();return{x:r.x,y:r.y,width:r.width,height:r.height,right:r.right,bottom:r.bottom};}; + const header=document.querySelector('.na-appbar'); + const brand=document.querySelector('.na-brand'); + const links=Array.from(header.querySelectorAll('a')).map(e=>({text:e.textContent.trim(),href:e.getAttribute('href'),box:box(e),scrollWidth:e.scrollWidth,clientWidth:e.clientWidth})); + return {viewport:{width:innerWidth,height:innerHeight},header:box(header),brand:box(brand),links,main:box(document.querySelector('.na-main')),documentOverflow:document.documentElement.scrollWidth-innerWidth,headerScrollWidth:header.scrollWidth,headerClientWidth:header.clientWidth,headerCss:{height:getComputedStyle(header).height,flexWrap:getComputedStyle(header).flexWrap,flexShrink:getComputedStyle(header).flexShrink},brandText:brand.textContent.trim()}; + }); + const name=`${phase}-${width}-text-${scale*100}`; + const html=await page.content();await fs.writeFile(path.join(output,name+'.html'),html); + await page.screenshot({path:path.join(output,name+'.png')}); + const sidecar={...state,fonts,errors,resizeMethod:'All original computed element text sizes sampled once then doubled; no browser/OS zoom claim.'}; + await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(sidecar,null,2)+'\n'); + if(phase==='before'&&((scale===2&&width<=390)||(scale===1&&width===1440))){ + await page.evaluate(()=>{const e=document.querySelector('.na-appbar');e.style.outline='3px solid #ff007f';e.style.outlineOffset='-3px';const label=document.createElement('div');label.id='proof-boundary';label.textContent='A · existing header owner · BEFORE';Object.assign(label.style,{position:'fixed',top:`${e.getBoundingClientRect().bottom+4}px`,left:'4px',padding:'2px 5px',background:'#ff007f',color:'white',font:'12px sans-serif',zIndex:'2147483647',pointerEvents:'none'});document.body.append(label);}); + await fs.writeFile(path.join(output,name+'-boundary.html'),await page.content()); + await page.screenshot({path:path.join(output,name+'-boundary.png')}); + } + check(name+' no runtime exception',errors.length===0); + if(phase==='after'){ + check(name+' header fits viewport',state.header.x>=-0.5&&state.header.right<=width+0.5&&state.headerScrollWidth<=state.headerClientWidth+1); + check(name+' branding stays inside header',state.brand.x>=state.header.x&&state.brand.right<=state.header.right+0.5&&state.brand.y>=state.header.y&&state.brand.bottom<=state.header.bottom+0.5); + check(name+' links remain visible and legible',state.links.length===2&&state.links.every(l=>l.box.x>=0&&l.box.right<=width+0.5&&l.box.y>=0&&l.box.bottom<=state.header.bottom+0.5&&l.scrollWidth<=l.clientWidth+1)); + check(name+' main starts below header',state.main.y>=state.header.bottom-0.5); + const focus=[]; + await page.keyboard.press('Tab'); + for(let i=0;i<12&&focus.length<2;i++){ + const f=await page.evaluate(()=>{const e=document.activeElement;if(!e?.matches('.na-appbar a'))return null;const r=e.getBoundingClientRect();return{text:e.textContent.trim(),left:r.left,right:r.right,top:r.top,bottom:r.bottom,focusVisible:e.matches(':focus-visible')};}); + if(f&&!focus.some(x=>x.text===f.text))focus.push(f); + await page.keyboard.press('Tab'); + } + check(name+' both native header links reachable by keyboard',focus.length===2&&focus.every(f=>f.focusVisible&&f.left>=0&&f.right<=width+0.5&&f.top>=0&&f.bottom<=900)); + sidecar.focus=focus;await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(sidecar,null,2)+'\n'); + } + report.cells.push({name,...sidecar,pngSha256:sha(await fs.readFile(path.join(output,name+'.png')))}); + await context.close(); + } +}catch(e){report.error=String(e.stack??e);process.exitCode=1;} +finally{ + await browser?.close();await server?.close(); + report.sourceAfter=await hashes(); + report.sourceUnchanged=JSON.stringify(report.sourceBefore)===JSON.stringify(report.sourceAfter); + report.passed=!report.error&&report.sourceUnchanged; + await fs.writeFile(path.join(output,'report.json'),JSON.stringify(report,null,2)+'\n'); + console.log(JSON.stringify({proof:report.proof,phase,passed:report.passed,cells:report.cells.length,checks:report.checks.length,error:report.error})); +} diff --git a/evidence/header-reflow-20260905/.gitattributes b/evidence/header-reflow-20260905/.gitattributes new file mode 100644 index 0000000..fa1385d --- /dev/null +++ b/evidence/header-reflow-20260905/.gitattributes @@ -0,0 +1 @@ +* -text diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-HANDOFF-before-header.md.txt b/evidence/header-reflow-20260905/E6f-nodeagent-HANDOFF-before-header.md.txt new file mode 100644 index 0000000..7be87f4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-HANDOFF-before-header.md.txt @@ -0,0 +1,38 @@ +# NodeAgent developer handoff + +Read this file first, then [the runtime walkthrough](docs/START_HERE.md). This review candidate starts from canonical `4e525fd0`. The separately preserved Pi draft is not integrated. Independent source and installed-consumer review passes for the bounded slice below. The [portable judgment](evidence/current-consumer-20260905/judge/E6e_NODEAGENT_CURRENT_CONSUMER_FINAL_JUDGE.md.txt), manifest and Git history identify the reviewed implementation and its later publication metadata. + +A developer can run the repository's local scenario and generate a separate chat application without credentials. Both chats use scripted local adapters; displayed confidence numbers come from fixtures. Their browser conversations reset on reload. The library's durable/SQLite demonstration is a separate integration and does not persist either browser chat. + +Use Node 22; this proof used Node 22.22.2. From this repository run `npm ci`, `npm test`, `npm run build` and `npm run tours:validate`. The 41 tests, typecheck/build, three tours/36 steps and 11 walkthrough citations pass. To generate a consumer, run `npm pack`, install that exact tarball in a new empty npm project, then use its installed CLI: + +```powershell +node node_modules/nodeagent/bin/nodeagent.mjs doctor +node node_modules/nodeagent/bin/nodeagent.mjs apps scaffold chat-ui --dir "../NodeAgent Chat" --auto +Set-Location "../NodeAgent Chat" +npm run dev +``` + +`--auto` performs normal install, demo, smoke and build. Keep the included template lock; use `npm ci` for repeatable reinstall. Existing-target refusal was verified with an owner sentinel and without force. Each failed and repaired consumer was retained separately. + +The original unlocked template resolved incompatible assistant-ui dependencies and failed its first real prompt despite smoke/build passing. A tested compatible template lock fixes that install seam without changing dependency ranges. The final packed consumer binds 242 source/tarball/installed files and the exact generated lock. Its tarball SHA-256 is `1a6e980a684f433fcdc80021eb5569fa5c4b94e09a71e8a2adbe5d821e654c69`. That package predates this final handoff/evidence metadata; it is an uncommitted candidate proof, not a published release certificate. + +Both current chats expose **Stop response**, visible incomplete/failed tool status, and explicit **Retry response**. Stop ends response display updates and keeps completed work. It cannot undo work already computed by the adapter, graph facts already recorded, durable work or external actions. Retry re-executes only the current response through the native runtime and preserves earlier turns. It is never automatic. A synchronous claim on the current response ID rejects immediate double activation; actual SDK IDs were observed to change on each retry, so a second failed response remains retryable. This is a local UI guarantee, not external-service idempotency or provider cancellation. + +[Portable evidence](evidence/current-consumer-20260905/README.md) contains the actual before boundaries, failure history, command logs, source bindings and final browser reports. The response-recovery run passed 289 checks and saved 76 captures across 320/390/768/1024/1440/1920 for both source and installed generated apps. It covers ordinary pointer/keyboard Stop, stable incomplete output, preserved earlier cards/graph snapshot, failure then explicit retry then failure again then explicit recovery, duplicate activation, pointer target stability, keyboard-visible error/Retry at enlarged text, and reload reset. An additional 12 turns produced 15 responses/60 cards in 21.182 seconds generated and 29.482 seconds source. These are bounded accumulation checks, not production longevity measurements. + +The unchanged first-run scenario separately passed 59 checks/25 captures on the final installed app, including eight sequential turns/32 cards in 13.968 seconds. Reproduce the two browser journeys from the source checkout with a fresh installed generated target and NEW output directories: + +```powershell +node e2e/current-consumer-proof.mjs "" "" +node e2e/current-consumer-recovery-proof.mjs "" "" +``` + +Separate offline frame/durable/SQLite runs completed. SQLite closed/reopened the retained database and replayed the same frame with one journal entry; lease exclusion, expiry recovery and fencing passed. Use `nodeagent:frame:smoke`, `nodeagent:durable:smoke` and `nodeagent:sqlite:smoke` for that separate library integration. Their fixture confidence is not an external provider measurement. + +Remaining limits are explicit. Source-header text still overflows by 21 pixels in the 390-pixel, doubled-computed-text fixture; the changed recovery/composer regions fit and remain visible. The text fixture is not an operating-system zoom certificate. The source graph still needs its own visual/readability assessment. There is no React render-error boundary or New Thread control. Full visual, responsive, accessibility and performance grades remain null. Source full audit has nine development advisories, including one critical; the locked generated app has four development advisories, three high and one low. Both recorded production-only audits have zero findings. Those full-audit findings remain open. + +No provider, Convex, login, external-host hook, deployment or Pi capability was activated. The historical dependency checkpoint and previous promotion records retain their original outcomes. This handoff closes the bounded offline consumer and response-recovery implementation for independent review; it does not claim complete repository readiness. + + +Independent replay adds130 checks/34 captures, including late Stop after an actual completed tool result and two distinct failed-response Retry identities. Fresh41 tests, typecheck and citations pass. The original publication judgment records60 line-ending mismatches; packet-local attributes preserve those exact raw bytes before commit. Existing header overflow, graph readability, development advisories, browser reset and provider/durability limits remain unchanged. This local source/installed proof does not certify deployment or the whole product. diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.html new file mode 100644 index 0000000..1955a82 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.json new file mode 100644 index 0000000..c63d7ec --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-100.json @@ -0,0 +1,94 @@ +{ + "viewport": { + "width": 1024, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1024, + "height": 54, + "right": 1024, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 877.8125, + "y": 17.203125, + "width": 66.484375, + "height": 18.59375, + "right": 944.296875, + "bottom": 35.796875 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": 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rlgICF3h;Q7<;zq2#mRrtfa3yxdWA;)1`IIy=XB;K)^{6>A3XUF5t{1K literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-200.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-200.html new file mode 100644 index 0000000..77178cc --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1024-text-200.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1440-text-200.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-100.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-100.json new file mode 100644 index 0000000..abe09cb --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-100.json @@ -0,0 +1,94 @@ +{ + "viewport": { + "width": 1920, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1920, + "height": 54, + "right": 1920, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1773.8125, + "y": 17.203125, + "width": 66.484375, + "height": 18.59375, + "right": 1840.296875, + "bottom": 35.796875 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": 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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-200.json new file mode 100644 index 0000000..394fd2d --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-1920-text-200.json @@ -0,0 +1,94 @@ +{ + "viewport": { + "width": 1920, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1920, + "height": 54, + "right": 1920, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1657.625, + "y": 7.90625, + "width": 132.96875, + "height": 37.1875, + "right": 1790.59375, + "bottom": 45.09375 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": 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a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-320-text-100.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-320-text-100.html new file mode 100644 index 0000000..1faa05a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-320-text-100.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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100644 index 0000000..a20910f --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-390-text-200.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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file mode 100644 index 0000000..4c9e5e6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-100.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-100.json new file mode 100644 index 0000000..ef1b148 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-100.json @@ -0,0 +1,94 @@ +{ + "viewport": { + "width": 768, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 768, + "height": 54, + "right": 768, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 621.8125, + "y": 4.5, + "width": 66.484375, + "height": 44, + "right": 688.296875, + "bottom": 48.5 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": 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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-200.json new file mode 100644 index 0000000..6ec5a87 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-after-01/after-768-text-200.json @@ -0,0 +1,94 @@ +{ + "viewport": { + "width": 768, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 768, + "height": 54, + "right": 768, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 505.625, + "y": 4.5, + "width": 132.96875, + "height": 44, + "right": 638.59375, + "bottom": 48.5 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": 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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1024-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1024-text-200.json new file mode 100644 index 0000000..9e9f442 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1024-text-200.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 1024, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1024, + "height": 54, + "right": 1024, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 761.625, + "y": 7.90625, + "width": 132.96875, + "height": 37.1875, + "right": 894.59375, + "bottom": 45.09375 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": 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React demo + + + + + + + + + + + +
A · existing header owner · BEFORE
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new file mode 100644 index 0000000..f426fc4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-100.html @@ -0,0 +1,270 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-100.json new file mode 100644 index 0000000..a02f8dd --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-100.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 1440, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1440, + "height": 54, + "right": 1440, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1293.8125, + "y": 17.203125, + "width": 66.484375, + "height": 18.59375, + "right": 1360.296875, + "bottom": 35.796875 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": 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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-200.json new file mode 100644 index 0000000..edcd8dd --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1440-text-200.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 1440, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1440, + "height": 54, + "right": 1440, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1177.625, + "y": 7.90625, + "width": 132.96875, + "height": 37.1875, + "right": 1310.59375, + "bottom": 45.09375 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": 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React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-100.json new file mode 100644 index 0000000..04378c7 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-100.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 1920, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1920, + "height": 54, + "right": 1920, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1773.8125, + "y": 17.203125, + "width": 66.484375, + "height": 18.59375, + "right": 1840.296875, + "bottom": 35.796875 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 1852.296875, + "y": 17.203125, + "width": 49.703125, + "height": 18.59375, + "right": 1902, + "bottom": 35.796875 + }, + "scrollWidth": 50, + "clientWidth": 50 + } + ], + "main": { + "x": 0, + "y": 54, + "width": 1920, + "height": 846, + "right": 1920, + "bottom": 900 + }, + "documentOverflow": 0, + "headerScrollWidth": 1920, + "headerClientWidth": 1920, + "headerCss": { + "height": "54px", + "flexWrap": "nowrap", + "flexShrink": "1" + }, + "brandText": "NodeAgenton assistant-ui", + "fonts": { + "ready": "loaded", + "manrope": true, + "mono": false + }, + "errors": [], + "resizeMethod": "All original computed element text sizes sampled once then doubled; no browser/OS zoom claim." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-100.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-100.png new file mode 100644 index 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b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-200.html new file mode 100644 index 0000000..eff1f86 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-200.html @@ -0,0 +1,270 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-200.json new file mode 100644 index 0000000..43330d3 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-1920-text-200.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 1920, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 1920, + "height": 54, + "right": 1920, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 1657.625, + "y": 7.90625, + "width": 132.96875, + "height": 37.1875, + "right": 1790.59375, + "bottom": 45.09375 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": 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a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.html new file mode 100644 index 0000000..d95ee70 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.html @@ -0,0 +1,270 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.json new file mode 100644 index 0000000..e2395e3 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-100.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 320, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 320, + "height": 54, + "right": 320, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 93.453125, + "height": 21.6875, + "right": 111.453125, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 173.8125, + "y": 4.5, + "width": 66.484375, + "height": 44, + "right": 240.296875, + "bottom": 48.5 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": 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b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200-boundary.html @@ -0,0 +1,270 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + +
A · existing header owner · BEFORE
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a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.html new file mode 100644 index 0000000..f094e42 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.html @@ -0,0 +1,270 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.json new file mode 100644 index 0000000..968ff14 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 320, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 320, + "height": 54, + "right": 320, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 168.90625, + "height": 43.390625, + "right": 186.90625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 210.90625, + "y": -10.6875, + "width": 110.59375, + "height": 74.375, + "right": 321.5, + "bottom": 63.6875 + }, + "scrollWidth": 111, + "clientWidth": 111 + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 333.5, + "y": -10.6875, + "width": 77.03125, + "height": 74.375, + "right": 410.53125, + "bottom": 63.6875 + }, + "scrollWidth": 77, + "clientWidth": 77 + } + ], + "main": { + "x": 0, + "y": 54, + "width": 320, + "height": 846, + "right": 320, + "bottom": 900 + }, + "documentOverflow": 91, + "headerScrollWidth": 411, + "headerClientWidth": 320, + "headerCss": { + "height": "54px", + "flexWrap": "nowrap", + "flexShrink": "1" + }, + "brandText": "NodeAgenton assistant-ui", + "fonts": { + "ready": "loaded", + "manrope": true, + "mono": false + }, + "errors": [], + "resizeMethod": "All original computed element text sizes sampled once then doubled; no browser/OS zoom claim." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-320-text-200.png new file mode 100644 index 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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-390-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-390-text-100.json new file mode 100644 index 0000000..182dc3e --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-390-text-100.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 390, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 390, + "height": 54, + "right": 390, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 93.453125, + "height": 21.6875, + "right": 111.453125, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 243.8125, + "y": 4.5, + "width": 66.484375, + "height": 44, + "right": 310.296875, + "bottom": 48.5 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 322.296875, + "y": 4.5, + "width": 49.703125, + "height": 44, + "right": 372, + "bottom": 48.5 + }, + "scrollWidth": 50, + "clientWidth": 50 + } + ], + "main": { + "x": 0, + "y": 54, + "width": 390, + "height": 846, + "right": 390, + "bottom": 900 + }, + "documentOverflow": 0, + "headerScrollWidth": 390, + "headerClientWidth": 390, + "headerCss": { + "height": "54px", + "flexWrap": "nowrap", + "flexShrink": "1" + }, + "brandText": "NodeAgenton assistant-ui", + "fonts": { + "ready": "loaded", + "manrope": true, + "mono": false + }, + "errors": [], + "resizeMethod": "All original computed element text sizes sampled once then doubled; no browser/OS zoom claim." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-390-text-100.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-390-text-100.png new file mode 100644 index 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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + +
A · existing header owner · BEFORE
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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-100.json new file mode 100644 index 0000000..f405041 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-100.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 768, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 768, + "height": 54, + "right": 768, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "width": 196.265625, + "height": 21.6875, + "right": 214.265625, + "bottom": 37.34375 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 621.8125, + "y": 4.5, + "width": 66.484375, + "height": 44, + "right": 688.296875, + "bottom": 48.5 + }, + "scrollWidth": 66, + "clientWidth": 66 + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 700.296875, + "y": 4.5, + "width": 49.703125, + "height": 44, + "right": 750, + "bottom": 48.5 + }, + "scrollWidth": 50, + "clientWidth": 50 + } + ], + "main": { + "x": 0, + "y": 54, + "width": 768, + "height": 846, + "right": 768, + "bottom": 900 + }, + "documentOverflow": 0, + "headerScrollWidth": 768, + "headerClientWidth": 768, + "headerCss": { + "height": "54px", + "flexWrap": "nowrap", + "flexShrink": "1" + }, + "brandText": "NodeAgenton assistant-ui", + "fonts": { + "ready": "loaded", + "manrope": true, + "mono": false + }, + "errors": [], + "resizeMethod": "All original computed element text sizes sampled once then doubled; no browser/OS zoom claim." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-100.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-100.png new file mode 100644 index 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NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

+ + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-200.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-200.json new file mode 100644 index 0000000..55e5ea2 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-200.json @@ -0,0 +1,76 @@ +{ + "viewport": { + "width": 768, + "height": 900 + }, + "header": { + "x": 0, + "y": 0, + "width": 768, + "height": 54, + "right": 768, + "bottom": 54 + }, + "brand": { + "x": 18, + "y": 4.796875, + "width": 366.515625, + "height": 43.390625, + "right": 384.515625, + "bottom": 48.1875 + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 505.625, + "y": 4.5, + "width": 132.96875, + "height": 44, + "right": 638.59375, + "bottom": 48.5 + }, + "scrollWidth": 133, + "clientWidth": 133 + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 650.59375, + "y": 4.5, + "width": 99.40625, + "height": 44, + "right": 750, + "bottom": 48.5 + }, + "scrollWidth": 99, + "clientWidth": 99 + } + ], + "main": { + "x": 0, + "y": 54, + "width": 768, + "height": 846, + "right": 768, + "bottom": 900 + }, + "documentOverflow": 0, + "headerScrollWidth": 768, + "headerClientWidth": 768, + "headerCss": { + "height": "54px", + "flexWrap": "nowrap", + "flexShrink": "1" + }, + "brandText": "NodeAgenton assistant-ui", + "fonts": { + "ready": "loaded", + "manrope": true, + "mono": false + }, + "errors": [], + "resizeMethod": "All original computed element text sizes sampled once then doubled; no browser/OS zoom claim." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-200.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-before-01/before-768-text-200.png new file mode 100644 index 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Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 7.218999999924563, + "log": "build.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/build.log b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/build.log new file mode 100644 index 0000000..97d4a80 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/build.log @@ -0,0 +1,18 @@ + +> nodeagent@0.1.0 build +> tsc --noEmit && vite build + +vite v6.4.3 building for production... +transforming... +✓ 777 modules transformed. +rendering chunks... +computing gzip size... +dist/index.html 1.37 kB │ gzip: 0.75 kB +dist/assets/index-DMrXNErG.css 8.84 kB │ gzip: 2.61 kB +dist/assets/index-I1RVIRTC.js 662.30 kB │ gzip: 188.72 kB │ map: 2,794.62 kB + +(!) Some chunks are larger than 500 kB after minification. Consider: +- Using dynamic import() to code-split the application +- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks +- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit. +✓ built in 4.67s diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/commands.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/commands.json new file mode 100644 index 0000000..1134664 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/commands.json @@ -0,0 +1,51 @@ +[ + { + "name": "source-recovery", + "at": "2026-09-05T10:20:16.860242+00:00", + "argv": [ + "node", + "e2e/current-consumer-recovery-proof.mjs", + "D:/ProjectRecovery/NodeAgent current consumer 20260905/Response recovery Chat app 03", + "C:\\Users\\hshum\\.codex\\worktrees\\5dba\\nodebench-ai\\docs\\plans\\portfolio-recovery-20260904\\E6f-nodeagent-header-recovery-01", + "--source-only" + ], + "cwd": "D:\\VSCode Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 134.0779999999795, + "log": "source-recovery.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." + }, + { + "name": "tests", + "at": "2026-09-05T10:22:30.935382+00:00", + "argv": [ + "cmd.exe", + "/d", + "/c", + "npm", + "test" + ], + "cwd": "D:\\VSCode Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 1.7810000000754371, + "log": "tests.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." + }, + { + "name": "build", + "at": "2026-09-05T10:22:32.723496+00:00", + "argv": [ + "cmd.exe", + "/d", + "/c", + "npm", + "run", + "build" + ], + "cwd": "D:\\VSCode Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 7.218999999924563, + "log": "build.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." + } +] diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.command.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.command.json new file mode 100644 index 0000000..b7c8b56 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.command.json @@ -0,0 +1,16 @@ +{ + "name": "source-recovery", + "at": "2026-09-05T10:20:16.860242+00:00", + "argv": [ + "node", + "e2e/current-consumer-recovery-proof.mjs", + "D:/ProjectRecovery/NodeAgent current consumer 20260905/Response recovery Chat app 03", + "C:\\Users\\hshum\\.codex\\worktrees\\5dba\\nodebench-ai\\docs\\plans\\portfolio-recovery-20260904\\E6f-nodeagent-header-recovery-01", + "--source-only" + ], + "cwd": "D:\\VSCode Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 134.0779999999795, + "log": "source-recovery.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.log b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.log new file mode 100644 index 0000000..2a3592e --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/source-recovery.log @@ -0,0 +1,6 @@ +Sourcemap for "D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905/vendor/nodegraph-live/react.js" points to missing source files +Sourcemap for "D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905/vendor/nodegraph-live/index.js" points to missing source files +Sourcemap for "D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905/vendor/nodegraph-live/NodeGraph.js" points to missing source files +Sourcemap for "D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905/vendor/nodegraph-live/session.js" points to missing source files +Sourcemap for "D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905/vendor/nodegraph-live/graph-model.js" points to missing source files +{"output":"C:\\Users\\hshum\\.codex\\worktrees\\5dba\\nodebench-ai\\docs\\plans\\portfolio-recovery-20260904\\E6f-nodeagent-header-recovery-01","passed":true,"checks":145,"captures":38} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.command.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.command.json new file mode 100644 index 0000000..2ab85db --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.command.json @@ -0,0 +1,16 @@ +{ + "name": "tests", + "at": "2026-09-05T10:22:30.935382+00:00", + "argv": [ + "cmd.exe", + "/d", + "/c", + "npm", + "test" + ], + "cwd": "D:\\VSCode Projects\\cafecorner_nodebench\\nodebench_ai4\\.portfolio-worktrees\\nodeagent-current-consumer-20260905", + "exitCode": 0, + "seconds": 1.7810000000754371, + "log": "tests.log", + "environment": "Provider/Convex/Vite inherited variables removed without output; no credential files read." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.log b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.log new file mode 100644 index 0000000..313f1c1 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-checks/tests.log @@ -0,0 +1,20 @@ + +> nodeagent@0.1.0 test +> vitest run + + + RUN v2.1.9 D:/VSCode Projects/cafecorner_nodebench/nodebench_ai4/.portfolio-worktrees/nodeagent-current-consumer-20260905 + + ✓ tests/omnigentAdapter.test.ts (2 tests) 4ms + ✓ tests/searchSynthesize.test.ts (10 tests) 6ms + ✓ tests/spreadsheetDelta.test.ts (13 tests) 9ms + ✓ tests/reasoningFrameRunner.test.ts (2 tests) 5ms + ✓ tests/durableRuntime.test.ts (4 tests) 7ms + ✓ tests/nodeAgentRuntime.test.ts (8 tests) 7ms + ✓ tests/sqliteDurableRuntime.test.ts (2 tests) 83ms + + Test Files 7 passed (7) + Tests 41 passed (41) + Start at 03:22:31 + Duration 839ms (transform 385ms, setup 0ms, collect 1.33s, tests 121ms, environment 1ms, prepare 956ms) + diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/executed-probe.mjs b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/executed-probe.mjs new file mode 100644 index 0000000..daa09b6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/executed-probe.mjs @@ -0,0 +1,80 @@ +import fs from 'node:fs/promises'; +import path from 'node:path'; +import {createRequire} from 'node:module'; +import {pathToFileURL} from 'node:url'; +import {createHash} from 'node:crypto'; +import {execFileSync} from 'node:child_process'; +import assert from 'node:assert/strict'; +const [rootArg,outArg]=process.argv.slice(2); assert(rootArg&&outArg); +const root=path.resolve(rootArg), output=path.resolve(outArg); +await fs.mkdir(output,{recursive:false}); +const require=createRequire(path.join(root,'package.json')); +const {chromium}=require('playwright'); +const {createServer}=await import(pathToFileURL(require.resolve('vite')).href); +const sha=b=>createHash('sha256').update(b).digest('hex'); +const files=['src/app/styles.css','src/features/node-agent/components/NodeAgentDemoApp.tsx','src/features/node-agent/components/NodeAgentThread.tsx','src/features/node-agent/runtime/nodeAgentChatAdapter.ts','package.json','package-lock.json','.tours/03-debug-and-recovery.tour','docs/codebase/TESTING.md','e2e/header-reflow-proof.mjs']; +const hashes=async()=>Object.fromEntries(await Promise.all(files.map(async f=>[f,sha(await fs.readFile(path.join(root,f)))]))); +const git=(...a)=>execFileSync('git',['--no-optional-locks',...a],{cwd:root}); +const snapshot=()=>({head:git('rev-parse','HEAD').toString().trim(),index:sha(git('ls-files','--stage','-z')),refs:sha(git('show-ref')),status:sha(git('status','--porcelain=v1','-z'))}); +const report={proof:'NODEAGENT-HEADER-INDEPENDENT-01',at:new Date().toISOString(),sourceBefore:await hashes(),gitBefore:snapshot(),checks:[],captures:[],cells:[],limitations:['Four source-only normal-motion Chromium cells; no full matrix, actual device or provider proof.','Computed font doubling is not native zoom.','Link destination requests are intercepted with a labelled diagnostic document; destination contents are not certified.','Knockout restores only old layout rules in browser memory and display:contents for the added grouping; product files untouched.'],error:null}; +let server,browser; +function check(name,passed,detail){report.checks.push({name,passed:Boolean(passed),detail});assert(passed,name);} +async function state(page){return page.evaluate(()=>{ + const box=e=>{const r=e.getBoundingClientRect();return {x:r.x,y:r.y,right:r.right,bottom:r.bottom,width:r.width,height:r.height};}; + const h=document.querySelector('.na-appbar'); + return {viewport:{width:innerWidth,height:innerHeight},header:box(h),brand:box(document.querySelector('.na-brand')),main:box(document.querySelector('.na-main')),overflow:document.documentElement.scrollWidth-innerWidth,nav:{role:document.querySelector('.na-resource-links').tagName,name:document.querySelector('.na-resource-links').getAttribute('aria-label')},links:[...h.querySelectorAll('a')].map(e=>({text:e.textContent.trim(),href:e.getAttribute('href'),box:box(e),focusVisible:e.matches(':focus-visible'),hit:document.elementFromPoint(e.getBoundingClientRect().x+e.getBoundingClientRect().width/2,e.getBoundingClientRect().y+e.getBoundingClientRect().height/2)===e})),focus:document.activeElement?.textContent?.trim(),fonts:{manrope:document.fonts.check('14px Manrope'),mono:document.fonts.check('11px "JetBrains Mono"')}}; +});} +async function capture(page,name){ + const s=await state(page),html=await page.content(); + await fs.writeFile(path.join(output,name+'.html'),html); + await page.screenshot({path:path.join(output,name+'.png')}); + check(name+' DOM unchanged during capture',html===await page.content()); + await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(s,null,2)+'\n'); + report.captures.push({name,state:s,pngSha256:sha(await fs.readFile(path.join(output,name+'.png')))}); + return s; +} +try{ + server=await createServer({root,envDir:false,server:{host:'127.0.0.1',port:0,strictPort:true,open:false}});await server.listen(); + const base=`http://127.0.0.1:${server.httpServer.address().port}`; + browser=await chromium.launch({headless:true});report.browser=browser.version();report.node=process.version; + for(const [width,height] of [[390,844],[1440,960]]) for(const scale of [1,2]){ + const context=await browser.newContext({viewport:{width,height},reducedMotion:'no-preference'}),page=await context.newPage(); + const cell={width,height,textScale:scale*100,console:[],errors:[],failed:[],navigation:[]}; + page.on('console',m=>{if(['error','warning'].includes(m.type()))cell.console.push({type:m.type(),text:m.text()});});page.on('pageerror',e=>cell.errors.push(String(e)));page.on('requestfailed',r=>cell.failed.push({url:r.url(),error:r.failure()})); + await context.route('**/*',route=>{const u=new URL(route.request().url());if(u.origin===base||['fonts.googleapis.com','fonts.gstatic.com'].includes(u.hostname))return route.continue();return route.abort();}); + await page.goto(base,{waitUntil:'networkidle'});await page.evaluate(()=>document.fonts.ready); + if(scale===2)await page.evaluate(()=>{const a=[...document.querySelectorAll('body,body *')].map(e=>({e,n:parseFloat(getComputedStyle(e).fontSize)}));for(const {e,n}of a)if(Number.isFinite(n))e.style.fontSize=`${n*2}px`;}); + const name=`source-${width}-text-${scale*100}`; + const s=await capture(page,name);cell.initial=s; + check(name+' no horizontal overflow',s.overflow===0,s.overflow); + check(name+' main below actual header',s.main.y>=s.header.bottom-0.5); + check(name+' named native resource navigation',s.nav.role==='NAV'&&s.nav.name==='Project resources'); + check(name+' link boxes are visible and hittable',s.links.every(l=>l.box.x>=0&&l.box.right<=width&&l.box.y>=0&&l.box.bottom<=s.header.bottom&&l.hit)); + check(name+' exact original destinations',s.links[0].href==='/nodeagent-v1.html'&&s.links[1].href==='https://github.com/HomenShum/NodeAgent'); + check(name+' correct bounded height',scale===2&&width===390?s.header.height>54:s.header.height===54,s.header.height); + await page.locator('textarea').focus(); + for(let i=1;i>=0;i--){ + let n=0;while(n++<12){await page.keyboard.press('Shift+Tab');if(await page.locator('.na-appbar a').nth(i).evaluate(e=>e===document.activeElement))break;} + const focused=await capture(page,name+'-focus-'+i); + check(name+' native focus '+i,focused.links[i].focusVisible&&focused.links[i].hit); + } + if(width===390&&scale===2){ + const style=await page.addStyleTag({content:'.na-appbar{flex-wrap:nowrap;flex-shrink:1;gap:12px;height:54px;min-height:0;padding:0 18px}.na-brand{flex-shrink:1}.na-resource-links{display:contents}.na-link{white-space:normal}'}); + const ko=await capture(page,name+'-old-layout-knockout'); + check('old layout reproduces header failure',ko.overflow>0&&ko.links.some(l=>l.box.right>width||l.box.y<0),ko); + cell.knockout={overflow:ko.overflow,headerHeight:ko.header.height};await style.evaluate(e=>e.remove()); + const restored=await capture(page,name+'-restored');check('candidate owner alone restores zero overflow',restored.overflow===0&&restored.header.height===s.header.height); + } + // Verify the actual native activation and intended request without certifying destination content. + const urls=[base+'/nodeagent-v1.html','https://github.com/HomenShum/NodeAgent']; + for(let i=0;i<2;i++){ + const probe=await context.newPage();await probe.goto(base,{waitUntil:'networkidle'}); + await probe.route(urls[i],route=>{cell.navigation.push({input:i===0?'pointer':'keyboard',requested:route.request().url()});return route.fulfill({status:200,contentType:'text/html',body:'Independent navigation request fixture

Destination request captured; destination content not tested.

'});}); + const link=probe.locator('.na-appbar a').nth(i);if(i===0)await link.click();else{await link.focus();await probe.keyboard.press('Enter');} + await probe.waitForURL(urls[i]);check(name+' native destination request '+i,cell.navigation.some(v=>v.requested===urls[i]));await probe.close(); + } + check(name+' no unexpected page or console errors',cell.errors.length===0&&cell.console.every(v=>v.type!=='error')&&cell.failed.length===0,{errors:cell.errors,console:cell.console,failed:cell.failed}); + report.cells.push(cell);await context.close(); + } +}catch(e){report.error=String(e.stack??e);process.exitCode=1;} +finally{await browser?.close();await server?.close();report.sourceAfter=await hashes();report.gitAfter=snapshot();report.preserved=JSON.stringify(report.sourceBefore)===JSON.stringify(report.sourceAfter)&&JSON.stringify(report.gitBefore)===JSON.stringify(report.gitAfter);report.passed=!report.error&&report.preserved;await fs.writeFile(path.join(output,'report.json'),JSON.stringify(report,null,2)+'\n');console.log(JSON.stringify({passed:report.passed,checks:report.checks.length,captures:report.captures.length,error:report.error,preserved:report.preserved}));} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/report.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/report.json new file mode 100644 index 0000000..a775be4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/report.json @@ -0,0 +1,158 @@ +{ + "proof": "NODEAGENT-HEADER-INDEPENDENT-01", + "at": "2026-09-05T10:30:58.394Z", + "sourceBefore": { + "src/app/styles.css": "6e6feb6d48d3d2623d5139a890b4f58149e315153aa20934e0ee8f698febfb87", + "src/features/node-agent/components/NodeAgentDemoApp.tsx": "5bfb4d66491582163365fd8798444dc2744df5389cbb29b519f671e5d02a0707", + "src/features/node-agent/components/NodeAgentThread.tsx": "867c29ffa6efe1bce591a54ebdfe1a4721f88e82f53ead5f63e69ee1f19e2c42", + "src/features/node-agent/runtime/nodeAgentChatAdapter.ts": "18a238b08287f415dc4474e46d007f2fe9c6d49eba16bb64fbbab222d7c7a1a9", + "package.json": "b8c29dca85263de4a015bfc7cb89255a73c22440b5140616fd92d6441dedf76e", + "package-lock.json": "9951aa3919121d6a1dbd5351ed58ae38b7befcf7a042f9a103919ede57cd23ce", + ".tours/03-debug-and-recovery.tour": "9aa6c7d7ecd380b5564bfaf27ea24a7a09d72b8db7ffdcb8d249f533c49e099e", + "docs/codebase/TESTING.md": "512d3df76468fc3229ce0f3506f97bd9fe0d0529b5827cfbef3157ac199ecfc6", + "e2e/header-reflow-proof.mjs": "1506b7de8f61e173c31ef12ffa9b85464beee783990b58bbadd5ab6fdb79bb1c" + }, + "gitBefore": { + "head": "5362505886883b49c8037bf5b9fb4ff2738d47a7", + "index": "71c2a72d325902a8f012c9204395241f66a94eed09922f3f1a8fcfd1d30f40f8", + "refs": "63ea8d5aa704559ad977eba9f2882f3447b68f4c31d8b30fd8b80176555e7873", + "status": "59179cf1b0a8d9ce5330d6042de2250fa767cb8965374f4c7b0df6a4e783412c" + }, + "checks": [ + { + "name": "source-390-text-100 DOM unchanged during capture", + "passed": true + }, + { + "name": "source-390-text-100 no horizontal overflow", + "passed": true, + "detail": 0 + }, + { + "name": "source-390-text-100 main below actual header", + "passed": true + }, + { + "name": "source-390-text-100 named native resource navigation", + "passed": true + }, + { + "name": "source-390-text-100 link boxes are visible and hittable", + "passed": true + }, + { + "name": "source-390-text-100 exact original destinations", + "passed": true + }, + { + "name": "source-390-text-100 correct bounded height", + "passed": true, + "detail": 54 + } + ], + "captures": [ + { + "name": "source-390-text-100", + "state": { + "viewport": { + "width": 390, + "height": 844 + }, + "header": { + "x": 0, + "y": 0, + "right": 390, + "bottom": 54, + "width": 390, + "height": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "right": 111.453125, + "bottom": 37.34375, + "width": 93.453125, + "height": 21.6875 + }, + "main": { + "x": 0, + "y": 54, + "right": 390, + "bottom": 844, + "width": 390, + "height": 790 + }, + "overflow": 0, + "nav": { + "role": "NAV", + "name": "Project resources" + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 243.8125, + "y": 4.5, + "right": 310.296875, + "bottom": 48.5, + "width": 66.484375, + "height": 44 + }, + "focusVisible": false, + "hit": true + }, + { + "text": "GitHub ↗", + "href": "https://github.com/HomenShum/NodeAgent", + "box": { + "x": 322.296875, + "y": 4.5, + "right": 372, + "bottom": 48.5, + "width": 49.703125, + "height": 44 + }, + "focusVisible": false, + "hit": true + } + ], + "focus": "", + "fonts": { + "manrope": true, + "mono": false + } + }, + "pngSha256": "3d209bcddf3e3d426d1747f07f45f1c0a4f3e6eff9619f520dc7895ebf472ca5" + } + ], + "cells": [], + "limitations": [ + "Four source-only normal-motion Chromium cells; no full matrix, actual device or provider proof.", + "Computed font doubling is not native zoom.", + "Link destination requests are intercepted with a labelled diagnostic document; destination contents are not certified.", + "Knockout restores only old layout rules in browser memory and display:contents for the added grouping; product files untouched." + ], + "error": "locator.focus: Error: strict mode violation: locator('textarea') resolved to 2 elements:\n 1) aka getByRole('textbox', { name: 'Ask the room anything…' })\n 2) aka locator('textarea').nth(1)\n\nCall log:\n\u001b[2m - waiting for locator('textarea')\u001b[22m\n\n at C:\\Users\\hshum\\.codex\\worktrees\\5dba\\nodebench-ai\\docs\\plans\\portfolio-recovery-20260904\\E6f-nodeagent-header-independent.mjs:55:34", + "browser": "151.0.7922.34", + "node": "v22.22.2", + "sourceAfter": { + "src/app/styles.css": "6e6feb6d48d3d2623d5139a890b4f58149e315153aa20934e0ee8f698febfb87", + "src/features/node-agent/components/NodeAgentDemoApp.tsx": "5bfb4d66491582163365fd8798444dc2744df5389cbb29b519f671e5d02a0707", + "src/features/node-agent/components/NodeAgentThread.tsx": "867c29ffa6efe1bce591a54ebdfe1a4721f88e82f53ead5f63e69ee1f19e2c42", + "src/features/node-agent/runtime/nodeAgentChatAdapter.ts": "18a238b08287f415dc4474e46d007f2fe9c6d49eba16bb64fbbab222d7c7a1a9", + "package.json": "b8c29dca85263de4a015bfc7cb89255a73c22440b5140616fd92d6441dedf76e", + "package-lock.json": "9951aa3919121d6a1dbd5351ed58ae38b7befcf7a042f9a103919ede57cd23ce", + ".tours/03-debug-and-recovery.tour": "9aa6c7d7ecd380b5564bfaf27ea24a7a09d72b8db7ffdcb8d249f533c49e099e", + "docs/codebase/TESTING.md": "512d3df76468fc3229ce0f3506f97bd9fe0d0529b5827cfbef3157ac199ecfc6", + "e2e/header-reflow-proof.mjs": "1506b7de8f61e173c31ef12ffa9b85464beee783990b58bbadd5ab6fdb79bb1c" + }, + "gitAfter": { + "head": "5362505886883b49c8037bf5b9fb4ff2738d47a7", + "index": "71c2a72d325902a8f012c9204395241f66a94eed09922f3f1a8fcfd1d30f40f8", + "refs": "63ea8d5aa704559ad977eba9f2882f3447b68f4c31d8b30fd8b80176555e7873", + "status": "59179cf1b0a8d9ce5330d6042de2250fa767cb8965374f4c7b0df6a4e783412c" + }, + "preserved": true, + "passed": false +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/source-390-text-100.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/source-390-text-100.html new file mode 100644 index 0000000..9a19b25 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-01/source-390-text-100.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/citations.stderr.log b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/citations.stderr.log new file mode 100644 index 0000000..e69de29 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/citations.stdout.log b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/citations.stdout.log new file mode 100644 index 0000000..21b00cc --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/citations.stdout.log @@ -0,0 +1 @@ +tours validate: PASS 3 tours, 36 steps, 11 START_HERE citations — every anchor still lives on the line that cites it diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/custody-metadata-followup.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/custody-metadata-followup.json new file mode 100644 index 0000000..7b73ddf --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/custody-metadata-followup.json @@ -0,0 +1,19 @@ +{ + "status": "FIRST_CUSTODY_ASSERTION_TOO_BROAD", + "error": "Full234 current-byte equality after recovery rejected the two later numeric citation updates; product/runtime inputs remain exact.", + "metadataOnlyDifferences": [ + { + "path": ".tours/03-debug-and-recovery.tour", + "recoverySha256": "01cdce8aac5661f3b5802d8bca8749ad07ccaa1b447af7f88049bdb2f0f81c94", + "currentSha256": "9aa6c7d7ecd380b5564bfaf27ea24a7a09d72b8db7ffdcb8d249f533c49e099e", + "recoveryEqualsBase": true + }, + { + "path": "docs/codebase/TESTING.md", + "recoverySha256": "b28b3964fda89568df077fe998eb78befb4b0f2399edb6f94ecada9579f5c7c0", + "currentSha256": "512d3df76468fc3229ce0f3506f97bd9fe0d0529b5827cfbef3157ac199ecfc6", + "recoveryEqualsBase": true + } + ], + "correction": "Bind232 unchanged recovery inputs directly and the two documentation changes via their actual diff and final citation replay. No runtime proof rerun needed." +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/executed-probe.mjs b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/executed-probe.mjs new file mode 100644 index 0000000..dbfe55e --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/executed-probe.mjs @@ -0,0 +1,81 @@ +import fs from 'node:fs/promises'; +import path from 'node:path'; +import {createRequire} from 'node:module'; +import {pathToFileURL} from 'node:url'; +import {createHash} from 'node:crypto'; +import {execFileSync} from 'node:child_process'; +import assert from 'node:assert/strict'; +const [rootArg,outArg]=process.argv.slice(2); assert(rootArg&&outArg); +const root=path.resolve(rootArg), output=path.resolve(outArg); +await fs.mkdir(output,{recursive:false}); +const require=createRequire(path.join(root,'package.json')); +const {chromium}=require('playwright'); +const {createServer}=await import(pathToFileURL(require.resolve('vite')).href); +const sha=b=>createHash('sha256').update(b).digest('hex'); +const files=['src/app/styles.css','src/features/node-agent/components/NodeAgentDemoApp.tsx','src/features/node-agent/components/NodeAgentThread.tsx','src/features/node-agent/runtime/nodeAgentChatAdapter.ts','package.json','package-lock.json','.tours/03-debug-and-recovery.tour','docs/codebase/TESTING.md','e2e/header-reflow-proof.mjs']; +const hashes=async()=>Object.fromEntries(await Promise.all(files.map(async f=>[f,sha(await fs.readFile(path.join(root,f)))]))); +const git=(...a)=>execFileSync('git',['--no-optional-locks',...a],{cwd:root}); +const snapshot=()=>({head:git('rev-parse','HEAD').toString().trim(),index:sha(git('ls-files','--stage','-z')),refs:sha(git('show-ref')),status:sha(git('status','--porcelain=v1','-z'))}); +const report={proof:'NODEAGENT-HEADER-INDEPENDENT-01',at:new Date().toISOString(),sourceBefore:await hashes(),gitBefore:snapshot(),checks:[],captures:[],cells:[],limitations:['Four source-only normal-motion Chromium cells; no full matrix, actual device or provider proof.','Computed font doubling is not native zoom.','Link destination requests are intercepted with a labelled diagnostic document; destination contents are not certified.','Knockout restores only old layout rules in browser memory and display:contents for the added grouping; product files untouched.'],error:null}; +let server,browser; +function check(name,passed,detail){report.checks.push({name,passed:Boolean(passed),detail});assert(passed,name);} +async function state(page){return page.evaluate(()=>{ + const box=e=>{const r=e.getBoundingClientRect();return {x:r.x,y:r.y,right:r.right,bottom:r.bottom,width:r.width,height:r.height};}; + const h=document.querySelector('.na-appbar'); + return {viewport:{width:innerWidth,height:innerHeight},header:box(h),brand:box(document.querySelector('.na-brand')),main:box(document.querySelector('.na-main')),overflow:document.documentElement.scrollWidth-innerWidth,nav:{role:document.querySelector('.na-resource-links').tagName,name:document.querySelector('.na-resource-links').getAttribute('aria-label')},links:[...h.querySelectorAll('a')].map(e=>({text:e.textContent.trim(),href:e.getAttribute('href'),box:box(e),focusVisible:e.matches(':focus-visible'),hit:document.elementFromPoint(e.getBoundingClientRect().x+e.getBoundingClientRect().width/2,e.getBoundingClientRect().y+e.getBoundingClientRect().height/2)===e})),focus:document.activeElement?.textContent?.trim(),fonts:{manrope:document.fonts.check('14px Manrope'),mono:document.fonts.check('11px "JetBrains Mono"')}}; +});} +async function capture(page,name){ + const s=await state(page),html=await page.content(); + await fs.writeFile(path.join(output,name+'.html'),html); + await page.screenshot({path:path.join(output,name+'.png')}); + check(name+' DOM unchanged during capture',html===await page.content()); + await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(s,null,2)+'\n'); + report.captures.push({name,state:s,pngSha256:sha(await fs.readFile(path.join(output,name+'.png')))}); + return s; +} +try{ + server=await createServer({root,envDir:false,server:{host:'127.0.0.1',port:0,strictPort:true,open:false}});await server.listen(); + const base=`http://127.0.0.1:${server.httpServer.address().port}`; + browser=await chromium.launch({headless:true});report.browser=browser.version();report.node=process.version; + for(const [width,height] of [[390,844],[1440,960]]) for(const scale of [1,2]){ + const context=await browser.newContext({viewport:{width,height},reducedMotion:'no-preference'}),page=await context.newPage(); + const cell={width,height,textScale:scale*100,console:[],errors:[],failed:[],navigation:[]}; + page.on('console',m=>{if(['error','warning'].includes(m.type()))cell.console.push({type:m.type(),text:m.text()});});page.on('pageerror',e=>cell.errors.push(String(e)));page.on('requestfailed',r=>cell.failed.push({url:r.url(),error:r.failure()})); + await context.route('**/*',route=>{const u=new URL(route.request().url());if(u.origin===base||['fonts.googleapis.com','fonts.gstatic.com'].includes(u.hostname))return route.continue();return route.abort();}); + await page.goto(base,{waitUntil:'networkidle'});await page.evaluate(()=>document.fonts.ready); + if(scale===2)await page.evaluate(()=>{const a=[...document.querySelectorAll('body,body *')].map(e=>({e,n:parseFloat(getComputedStyle(e).fontSize)}));for(const {e,n}of a)if(Number.isFinite(n))e.style.fontSize=`${n*2}px`;}); + const name=`source-${width}-text-${scale*100}`; + const s=await capture(page,name);cell.initial=s; + check(name+' no horizontal overflow',s.overflow===0,s.overflow); + check(name+' main below actual header',s.main.y>=s.header.bottom-0.5); + check(name+' named native resource navigation',s.nav.role==='NAV'&&s.nav.name==='Project resources'); + check(name+' link boxes are visible and hittable',s.links.every(l=>l.box.x>=0&&l.box.right<=width&&l.box.y>=0&&l.box.bottom<=s.header.bottom&&l.hit)); + check(name+' exact original destinations',s.links[0].href==='/nodeagent-v1.html'&&s.links[1].href==='https://github.com/HomenShum/NodeAgent'); + check(name+' correct bounded height',scale===2&&width===390?s.header.height>54:s.header.height===54,s.header.height); + await page.locator('.na-composer-input').focus(); + for(let i=1;i>=0;i--){ + let n=0;while(n++<12){await page.keyboard.press('Shift+Tab');if(await page.locator('.na-appbar a').nth(i).evaluate(e=>e===document.activeElement))break;} + const focused=await capture(page,name+'-focus-'+i); + check(name+' native focus '+i,focused.links[i].focusVisible&&focused.links[i].hit); + } + if(width===390&&scale===2){ + const style=await page.addStyleTag({content:'.na-appbar{flex-wrap:nowrap;flex-shrink:1;gap:12px;height:54px;min-height:0;padding:0 18px}.na-brand{flex-shrink:1}.na-resource-links{display:contents}.na-link{white-space:normal}'}); + const ko=await capture(page,name+'-old-layout-knockout'); + check('old layout reproduces header failure',ko.overflow>0&&ko.links.some(l=>l.box.right>width||l.box.y<0),ko); + cell.knockout={overflow:ko.overflow,headerHeight:ko.header.height};await style.evaluate(e=>e.remove()); + const restored=await capture(page,name+'-restored');check('candidate owner alone restores zero overflow',restored.overflow===0&&restored.header.height===s.header.height); + } + // Verify the actual native activation and intended request without certifying destination content. + const urls=[base+'/nodeagent-v1.html','https://github.com/HomenShum/NodeAgent']; + for(let i=0;i<2;i++){ + const probe=await context.newPage();await probe.goto(base,{waitUntil:'networkidle'});await probe.evaluate(()=>document.fonts.ready); + if(scale===2)await probe.evaluate(()=>{const a=[...document.querySelectorAll('body,body *')].map(e=>({e,n:parseFloat(getComputedStyle(e).fontSize)}));for(const {e,n}of a)if(Number.isFinite(n))e.style.fontSize=`${n*2}px`;}); + await probe.route(urls[i],route=>{cell.navigation.push({input:i===0?'pointer':'keyboard',requested:route.request().url()});return route.fulfill({status:200,contentType:'text/html',body:'Independent navigation request fixture

Destination request captured; destination content not tested.

'});}); + const link=probe.locator('.na-appbar a').nth(i);if(i===0)await link.click();else{await link.focus();await probe.keyboard.press('Enter');} + await probe.waitForURL(urls[i]);check(name+' native destination request '+i,cell.navigation.some(v=>v.requested===urls[i]));await probe.close(); + } + check(name+' no unexpected page or console errors',cell.errors.length===0&&cell.console.every(v=>v.type!=='error')&&cell.failed.length===0,{errors:cell.errors,console:cell.console,failed:cell.failed}); + report.cells.push(cell);await context.close(); + } +}catch(e){report.error=String(e.stack??e);process.exitCode=1;} +finally{await browser?.close();await server?.close();report.sourceAfter=await hashes();report.gitAfter=snapshot();report.preserved=JSON.stringify(report.sourceBefore)===JSON.stringify(report.sourceAfter)&&JSON.stringify(report.gitBefore)===JSON.stringify(report.gitAfter);report.passed=!report.error&&report.preserved;await fs.writeFile(path.join(output,'report.json'),JSON.stringify(report,null,2)+'\n');console.log(JSON.stringify({passed:report.passed,checks:report.checks.length,captures:report.captures.length,error:report.error,preserved:report.preserved}));} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/report.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/report.json new file mode 100644 index 0000000..547c285 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/report.json @@ -0,0 +1,1785 @@ +{ + "proof": "NODEAGENT-HEADER-INDEPENDENT-01", + "at": "2026-09-05T10:31:44.735Z", + "sourceBefore": { + "src/app/styles.css": "6e6feb6d48d3d2623d5139a890b4f58149e315153aa20934e0ee8f698febfb87", + "src/features/node-agent/components/NodeAgentDemoApp.tsx": "5bfb4d66491582163365fd8798444dc2744df5389cbb29b519f671e5d02a0707", + "src/features/node-agent/components/NodeAgentThread.tsx": 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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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z-6bu|>ggu6B~GT#;l{OLgR3 + + + + + + + + + NodeAgent — React demo + + + + + + + +

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100-focus-1.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100-focus-1.json new file mode 100644 index 0000000..7ac28ef --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100-focus-1.json @@ -0,0 +1,70 @@ +{ + "viewport": { + "width": 390, + "height": 844 + }, + "header": { + "x": 0, + "y": 0, + "right": 390, + "bottom": 54, + "width": 390, + "height": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "right": 111.453125, + "bottom": 37.34375, + "width": 93.453125, + "height": 21.6875 + }, + "main": { + "x": 0, + "y": 54, + "right": 390, + "bottom": 844, + "width": 390, + "height": 790 + }, + "overflow": 0, + "nav": { + "role": "NAV", + "name": "Project resources" + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + 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    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100.json new file mode 100644 index 0000000..bc8b9b2 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-100.json @@ -0,0 +1,70 @@ +{ + "viewport": { + "width": 390, + "height": 844 + }, + "header": { + "x": 0, + "y": 0, + "right": 390, + "bottom": 54, + "width": 390, + "height": 54 + }, + "brand": { + "x": 18, + "y": 15.65625, + "right": 111.453125, + "bottom": 37.34375, + "width": 93.453125, + "height": 21.6875 + }, + "main": { + "x": 0, + "y": 54, + "right": 390, + "bottom": 844, + "width": 390, + "height": 790 + }, + "overflow": 0, + "nav": { + "role": "NAV", + "name": "Project resources" + }, + "links": [ + { + "text": "Prototype ↗", + "href": "/nodeagent-v1.html", + "box": { + "x": 243.8125, + "y": 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    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-0.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-0.json new file mode 100644 index 0000000..dcef283 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-0.json @@ -0,0 +1,70 @@ +{ + "viewport": { + "width": 390, + "height": 844 + }, + "header": { + "x": 0, + "y": 0, + "right": 390, + "bottom": 96.390625, + "width": 390, + "height": 96.390625 + }, + "brand": { + "x": 18, + "y": 4, + "right": 186.90625, + "bottom": 47.390625, + "width": 168.90625, + "height": 43.390625 + }, + "main": { + "x": 0, + "y": 96.390625, + "right": 390, + "bottom": 844, + "width": 390, + "height": 747.609375 + }, + "overflow": 0, + "nav": { + "role": "NAV", + "name": "Project resources" + }, + "links": [ + { + "text": "Prototype ↗", + "href": 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index 0000000..a20910f --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-1.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-1.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-1.json new file mode 100644 index 0000000..40fbf72 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent-02/source-390-text-200-focus-1.json @@ -0,0 +1,70 @@ +{ + "viewport": { + "width": 390, + "height": 844 + }, + "header": { + "x": 0, + "y": 0, + "right": 390, + "bottom": 96.390625, + "width": 390, + "height": 96.390625 + }, + "brand": { + "x": 18, + "y": 4, + "right": 186.90625, + "bottom": 47.390625, + "width": 168.90625, + "height": 43.390625 + }, + "main": { + "x": 0, + "y": 96.390625, + "right": 390, + "bottom": 844, + "width": 390, + "height": 747.609375 + }, + "overflow": 0, + "nav": { + "role": "NAV", + "name": "Project resources" + }, + "links": [ + { + "text": "Prototype ↗", + "href": 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    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

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zC#apOI{inK(za7iZSS4@2EhubN%QQk5uYgE)s-(0OMjSCtw~?@9|xdoL3ym&9Q;Ru zl>^hh|3)ACPj_|s|FFC7UEtHFPahw0n_RD;4^V&oufacI4avz_>H+LPM?Q%Q%LrBe H)b;xx%!a}A literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-independent.mjs b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent.mjs new file mode 100644 index 0000000..dbfe55e --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-independent.mjs @@ -0,0 +1,81 @@ +import fs from 'node:fs/promises'; +import path from 'node:path'; +import {createRequire} from 'node:module'; +import {pathToFileURL} from 'node:url'; +import {createHash} from 'node:crypto'; +import {execFileSync} from 'node:child_process'; +import assert from 'node:assert/strict'; +const [rootArg,outArg]=process.argv.slice(2); assert(rootArg&&outArg); +const root=path.resolve(rootArg), output=path.resolve(outArg); +await fs.mkdir(output,{recursive:false}); +const require=createRequire(path.join(root,'package.json')); +const {chromium}=require('playwright'); +const {createServer}=await import(pathToFileURL(require.resolve('vite')).href); +const sha=b=>createHash('sha256').update(b).digest('hex'); +const files=['src/app/styles.css','src/features/node-agent/components/NodeAgentDemoApp.tsx','src/features/node-agent/components/NodeAgentThread.tsx','src/features/node-agent/runtime/nodeAgentChatAdapter.ts','package.json','package-lock.json','.tours/03-debug-and-recovery.tour','docs/codebase/TESTING.md','e2e/header-reflow-proof.mjs']; +const hashes=async()=>Object.fromEntries(await Promise.all(files.map(async f=>[f,sha(await fs.readFile(path.join(root,f)))]))); +const git=(...a)=>execFileSync('git',['--no-optional-locks',...a],{cwd:root}); +const snapshot=()=>({head:git('rev-parse','HEAD').toString().trim(),index:sha(git('ls-files','--stage','-z')),refs:sha(git('show-ref')),status:sha(git('status','--porcelain=v1','-z'))}); +const report={proof:'NODEAGENT-HEADER-INDEPENDENT-01',at:new Date().toISOString(),sourceBefore:await hashes(),gitBefore:snapshot(),checks:[],captures:[],cells:[],limitations:['Four source-only normal-motion Chromium cells; no full matrix, actual device or provider proof.','Computed font doubling is not native zoom.','Link destination requests are intercepted with a labelled diagnostic document; destination contents are not certified.','Knockout restores only old layout rules in browser memory and display:contents for the added grouping; product files untouched.'],error:null}; +let server,browser; +function check(name,passed,detail){report.checks.push({name,passed:Boolean(passed),detail});assert(passed,name);} +async function state(page){return page.evaluate(()=>{ + const box=e=>{const r=e.getBoundingClientRect();return {x:r.x,y:r.y,right:r.right,bottom:r.bottom,width:r.width,height:r.height};}; + const h=document.querySelector('.na-appbar'); + return {viewport:{width:innerWidth,height:innerHeight},header:box(h),brand:box(document.querySelector('.na-brand')),main:box(document.querySelector('.na-main')),overflow:document.documentElement.scrollWidth-innerWidth,nav:{role:document.querySelector('.na-resource-links').tagName,name:document.querySelector('.na-resource-links').getAttribute('aria-label')},links:[...h.querySelectorAll('a')].map(e=>({text:e.textContent.trim(),href:e.getAttribute('href'),box:box(e),focusVisible:e.matches(':focus-visible'),hit:document.elementFromPoint(e.getBoundingClientRect().x+e.getBoundingClientRect().width/2,e.getBoundingClientRect().y+e.getBoundingClientRect().height/2)===e})),focus:document.activeElement?.textContent?.trim(),fonts:{manrope:document.fonts.check('14px Manrope'),mono:document.fonts.check('11px "JetBrains Mono"')}}; +});} +async function capture(page,name){ + const s=await state(page),html=await page.content(); + await fs.writeFile(path.join(output,name+'.html'),html); + await page.screenshot({path:path.join(output,name+'.png')}); + check(name+' DOM unchanged during capture',html===await page.content()); + await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(s,null,2)+'\n'); + report.captures.push({name,state:s,pngSha256:sha(await fs.readFile(path.join(output,name+'.png')))}); + return s; +} +try{ + server=await createServer({root,envDir:false,server:{host:'127.0.0.1',port:0,strictPort:true,open:false}});await server.listen(); + const base=`http://127.0.0.1:${server.httpServer.address().port}`; + browser=await chromium.launch({headless:true});report.browser=browser.version();report.node=process.version; + for(const [width,height] of [[390,844],[1440,960]]) for(const scale of [1,2]){ + const context=await browser.newContext({viewport:{width,height},reducedMotion:'no-preference'}),page=await context.newPage(); + const cell={width,height,textScale:scale*100,console:[],errors:[],failed:[],navigation:[]}; + page.on('console',m=>{if(['error','warning'].includes(m.type()))cell.console.push({type:m.type(),text:m.text()});});page.on('pageerror',e=>cell.errors.push(String(e)));page.on('requestfailed',r=>cell.failed.push({url:r.url(),error:r.failure()})); + await context.route('**/*',route=>{const u=new URL(route.request().url());if(u.origin===base||['fonts.googleapis.com','fonts.gstatic.com'].includes(u.hostname))return route.continue();return route.abort();}); + await page.goto(base,{waitUntil:'networkidle'});await page.evaluate(()=>document.fonts.ready); + if(scale===2)await page.evaluate(()=>{const a=[...document.querySelectorAll('body,body *')].map(e=>({e,n:parseFloat(getComputedStyle(e).fontSize)}));for(const {e,n}of a)if(Number.isFinite(n))e.style.fontSize=`${n*2}px`;}); + const name=`source-${width}-text-${scale*100}`; + const s=await capture(page,name);cell.initial=s; + check(name+' no horizontal overflow',s.overflow===0,s.overflow); + check(name+' main below actual header',s.main.y>=s.header.bottom-0.5); + check(name+' named native resource navigation',s.nav.role==='NAV'&&s.nav.name==='Project resources'); + check(name+' link boxes are visible and hittable',s.links.every(l=>l.box.x>=0&&l.box.right<=width&&l.box.y>=0&&l.box.bottom<=s.header.bottom&&l.hit)); + check(name+' exact original destinations',s.links[0].href==='/nodeagent-v1.html'&&s.links[1].href==='https://github.com/HomenShum/NodeAgent'); + check(name+' correct bounded height',scale===2&&width===390?s.header.height>54:s.header.height===54,s.header.height); + await page.locator('.na-composer-input').focus(); + for(let i=1;i>=0;i--){ + let n=0;while(n++<12){await page.keyboard.press('Shift+Tab');if(await page.locator('.na-appbar a').nth(i).evaluate(e=>e===document.activeElement))break;} + const focused=await capture(page,name+'-focus-'+i); + check(name+' native focus '+i,focused.links[i].focusVisible&&focused.links[i].hit); + } + if(width===390&&scale===2){ + const style=await page.addStyleTag({content:'.na-appbar{flex-wrap:nowrap;flex-shrink:1;gap:12px;height:54px;min-height:0;padding:0 18px}.na-brand{flex-shrink:1}.na-resource-links{display:contents}.na-link{white-space:normal}'}); + const ko=await capture(page,name+'-old-layout-knockout'); + check('old layout reproduces header failure',ko.overflow>0&&ko.links.some(l=>l.box.right>width||l.box.y<0),ko); + cell.knockout={overflow:ko.overflow,headerHeight:ko.header.height};await style.evaluate(e=>e.remove()); + const restored=await capture(page,name+'-restored');check('candidate owner alone restores zero overflow',restored.overflow===0&&restored.header.height===s.header.height); + } + // Verify the actual native activation and intended request without certifying destination content. + const urls=[base+'/nodeagent-v1.html','https://github.com/HomenShum/NodeAgent']; + for(let i=0;i<2;i++){ + const probe=await context.newPage();await probe.goto(base,{waitUntil:'networkidle'});await probe.evaluate(()=>document.fonts.ready); + if(scale===2)await probe.evaluate(()=>{const a=[...document.querySelectorAll('body,body *')].map(e=>({e,n:parseFloat(getComputedStyle(e).fontSize)}));for(const {e,n}of a)if(Number.isFinite(n))e.style.fontSize=`${n*2}px`;}); + await probe.route(urls[i],route=>{cell.navigation.push({input:i===0?'pointer':'keyboard',requested:route.request().url()});return route.fulfill({status:200,contentType:'text/html',body:'Independent navigation request fixture

    Destination request captured; destination content not tested.

    '});}); + const link=probe.locator('.na-appbar a').nth(i);if(i===0)await link.click();else{await link.focus();await probe.keyboard.press('Enter');} + await probe.waitForURL(urls[i]);check(name+' native destination request '+i,cell.navigation.some(v=>v.requested===urls[i]));await probe.close(); + } + check(name+' no unexpected page or console errors',cell.errors.length===0&&cell.console.every(v=>v.type!=='error')&&cell.failed.length===0,{errors:cell.errors,console:cell.console,failed:cell.failed}); + report.cells.push(cell);await context.close(); + } +}catch(e){report.error=String(e.stack??e);process.exitCode=1;} +finally{await browser?.close();await server?.close();report.sourceAfter=await hashes();report.gitAfter=snapshot();report.preserved=JSON.stringify(report.sourceBefore)===JSON.stringify(report.sourceAfter)&&JSON.stringify(report.gitBefore)===JSON.stringify(report.gitAfter);report.passed=!report.error&&report.preserved;await fs.writeFile(path.join(output,'report.json'),JSON.stringify(report,null,2)+'\n');console.log(JSON.stringify({passed:report.passed,checks:report.checks.length,captures:report.captures.length,error:report.error,preserved:report.preserved}));} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-proof.mjs b/evidence/header-reflow-20260905/E6f-nodeagent-header-proof.mjs new file mode 100644 index 0000000..60894b1 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-proof.mjs @@ -0,0 +1,87 @@ +import fs from 'node:fs/promises'; +import path from 'node:path'; +import assert from 'node:assert/strict'; +import {createRequire} from 'node:module'; +import {pathToFileURL} from 'node:url'; +import {createHash} from 'node:crypto'; +import {execFileSync} from 'node:child_process'; +const root=path.resolve(process.argv[2]??''); +const output=path.resolve(process.argv[3]??''); +const phase=process.argv[4]; +assert.ok(process.argv[2] && process.argv[3] && ['before','after'].includes(phase)); +await fs.mkdir(output,{recursive:false}); +const require=createRequire(path.join(root,'package.json')); +const {chromium}=require('playwright'); +const {createServer}=await import(pathToFileURL(require.resolve('vite')).href); +const sha=b=>createHash('sha256').update(b).digest('hex'); +const files=['src/app/styles.css','src/features/node-agent/components/NodeAgentDemoApp.tsx','src/features/node-agent/components/NodeAgentThread.tsx','src/features/node-agent/runtime/nodeAgentChatAdapter.ts','package.json','package-lock.json']; +const hashes=async()=>Object.fromEntries(await Promise.all(files.map(async f=>[f,sha(await fs.readFile(path.join(root,f)))]))); +const report={proof:'NODEAGENT-ENLARGED-HEADER-01',phase,at:new Date().toISOString(),head:execFileSync('git',['rev-parse','HEAD'],{cwd:root}).toString().trim(),sourceBefore:await hashes(),checks:[],cells:[],error:null,fullGrades:null}; +function check(name,passed){report.checks.push({name,passed:Boolean(passed)});assert.ok(passed,name);} +let server,browser; +try{ + server=await createServer({root,envDir:false,server:{host:'127.0.0.1',port:0,strictPort:true,open:false}}); + await server.listen(); + const address=server.httpServer.address(); + const base=`http://127.0.0.1:${address.port}`; + browser=await chromium.launch({headless:true}); + report.browser=browser.version(); + for(const width of [320,390,768,1024,1440,1920])for(const scale of [1,2]){ + const context=await browser.newContext({viewport:{width,height:900},reducedMotion:'reduce'}); + const page=await context.newPage(); + const errors=[];page.on('pageerror',e=>errors.push(String(e))); + await context.route('**/*',route=>{const u=new URL(route.request().url());return u.origin===base||['fonts.googleapis.com','fonts.gstatic.com'].includes(u.hostname)?route.continue():route.abort();}); + await page.goto(base,{waitUntil:'networkidle'}); + await page.locator('.na-appbar').waitFor(); + await page.evaluate(()=>document.fonts.ready); + const fonts=await page.evaluate(()=>({ready:document.fonts.status,manrope:document.fonts.check('14px Manrope'),mono:document.fonts.check('11px "JetBrains Mono"')})); + if(scale===2)await page.evaluate(()=>{ + const list=Array.from(document.querySelectorAll('body,body *')).map(e=>({e,size:parseFloat(getComputedStyle(e).fontSize)})); + for(const {e,size}of list)if(Number.isFinite(size))e.style.fontSize=`${size*2}px`; + }); + await page.evaluate(()=>new Promise(r=>requestAnimationFrame(()=>requestAnimationFrame(r)))); + const state=await page.evaluate(()=>{ + const box=e=>{const r=e.getBoundingClientRect();return{x:r.x,y:r.y,width:r.width,height:r.height,right:r.right,bottom:r.bottom};}; + const header=document.querySelector('.na-appbar'); + const brand=document.querySelector('.na-brand'); + const links=Array.from(header.querySelectorAll('a')).map(e=>({text:e.textContent.trim(),href:e.getAttribute('href'),box:box(e),scrollWidth:e.scrollWidth,clientWidth:e.clientWidth})); + return {viewport:{width:innerWidth,height:innerHeight},header:box(header),brand:box(brand),links,main:box(document.querySelector('.na-main')),documentOverflow:document.documentElement.scrollWidth-innerWidth,headerScrollWidth:header.scrollWidth,headerClientWidth:header.clientWidth,headerCss:{height:getComputedStyle(header).height,flexWrap:getComputedStyle(header).flexWrap,flexShrink:getComputedStyle(header).flexShrink},brandText:brand.textContent.trim()}; + }); + const name=`${phase}-${width}-text-${scale*100}`; + const html=await page.content();await fs.writeFile(path.join(output,name+'.html'),html); + await page.screenshot({path:path.join(output,name+'.png')}); + const sidecar={...state,fonts,errors,resizeMethod:'All original computed element text sizes sampled once then doubled; no browser/OS zoom claim.'}; + await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(sidecar,null,2)+'\n'); + if(phase==='before'&&((scale===2&&width<=390)||(scale===1&&width===1440))){ + await page.evaluate(()=>{const e=document.querySelector('.na-appbar');e.style.outline='3px solid #ff007f';e.style.outlineOffset='-3px';const label=document.createElement('div');label.id='proof-boundary';label.textContent='A · existing header owner · BEFORE';Object.assign(label.style,{position:'fixed',top:`${e.getBoundingClientRect().bottom+4}px`,left:'4px',padding:'2px 5px',background:'#ff007f',color:'white',font:'12px sans-serif',zIndex:'2147483647',pointerEvents:'none'});document.body.append(label);}); + await fs.writeFile(path.join(output,name+'-boundary.html'),await page.content()); + await page.screenshot({path:path.join(output,name+'-boundary.png')}); + } + check(name+' no runtime exception',errors.length===0); + if(phase==='after'){ + check(name+' header fits viewport',state.header.x>=-0.5&&state.header.right<=width+0.5&&state.headerScrollWidth<=state.headerClientWidth+1); + check(name+' branding stays inside header',state.brand.x>=state.header.x&&state.brand.right<=state.header.right+0.5&&state.brand.y>=state.header.y&&state.brand.bottom<=state.header.bottom+0.5); + check(name+' links remain visible and legible',state.links.length===2&&state.links.every(l=>l.box.x>=0&&l.box.right<=width+0.5&&l.box.y>=0&&l.box.bottom<=state.header.bottom+0.5&&l.scrollWidth<=l.clientWidth+1)); + check(name+' main starts below header',state.main.y>=state.header.bottom-0.5); + const focus=[]; + await page.keyboard.press('Tab'); + for(let i=0;i<12&&focus.length<2;i++){ + const f=await page.evaluate(()=>{const e=document.activeElement;if(!e?.matches('.na-appbar a'))return null;const r=e.getBoundingClientRect();return{text:e.textContent.trim(),left:r.left,right:r.right,top:r.top,bottom:r.bottom,focusVisible:e.matches(':focus-visible')};}); + if(f&&!focus.some(x=>x.text===f.text))focus.push(f); + await page.keyboard.press('Tab'); + } + check(name+' both native header links reachable by keyboard',focus.length===2&&focus.every(f=>f.focusVisible&&f.left>=0&&f.right<=width+0.5&&f.top>=0&&f.bottom<=900)); + sidecar.focus=focus;await fs.writeFile(path.join(output,name+'.json'),JSON.stringify(sidecar,null,2)+'\n'); + } + report.cells.push({name,...sidecar,pngSha256:sha(await fs.readFile(path.join(output,name+'.png')))}); + await context.close(); + } +}catch(e){report.error=String(e.stack??e);process.exitCode=1;} +finally{ + await browser?.close();await server?.close(); + report.sourceAfter=await hashes(); + report.sourceUnchanged=JSON.stringify(report.sourceBefore)===JSON.stringify(report.sourceAfter); + report.passed=!report.error&&report.sourceUnchanged; + await fs.writeFile(path.join(output,'report.json'),JSON.stringify(report,null,2)+'\n'); + console.log(JSON.stringify({proof:report.proof,phase,passed:report.passed,cells:report.cells.length,checks:report.checks.length,error:report.error})); +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/report.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/report.json new file mode 100644 index 0000000..486460c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/report.json @@ -0,0 +1,9164 @@ +{ + "namedProof": "NODEAGENT-RESPONSE-RECOVERY-01", + "startedAt": "2026-09-05T10:20:17.379Z", + "sourceBefore": { + ".gitattributes": "7d24510d29efb0bb23dc6507849c430d2eed29e78e972b9e96b8a0da66bba2c5", + ".github/workflows/ci.yml": "060a77ce6de5d1af76b178522c99ca3c707535e597ed1ff91d3bd6bb32185425", + ".github/workflows/node-platform-conformance.yml": "d527515d835cf3be91687dcab1af14c23fb43f613dfc6e46c2ebbe801fd4dea1", + ".gitignore": "350b0dc83efaee7060b28176fe4823f5ad363f5925c13508f4c5374229693bfb", + 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The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-320", + "pngSha256": "b0e274d75f19400abfe6634650b2152cb9a142ab092e1d85444a35895c1fd6c8", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1965, + "scrollHeight": 2367, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 178.53125, + "width": 230, + "height": 111.78125, + "top": 178.53125, + "right": 293, + "bottom": 290.3125, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-again-320", + "pngSha256": "ecf9e5fde0f199293a0b31b393659476215b90dfc958b201b5b5c0de35d7dd83", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3879, + "scrollHeight": 4281, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 177.90625, + "width": 230, + "height": 111.78125, + "top": 177.90625, + "right": 293, + "bottom": 289.6875, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-recovered-320", + "pngSha256": "ab52f57ac73b2c23d4ae66ebfe09566ea0d73c241ac4bb3e9909b6d3cb3f9635", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 5017, + "scrollHeight": 5419, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-reloaded-320", + "pngSha256": "98dc080209cd6f14ac11bcc9726183569949d2d13231b5ae898dd58e1b86cc7d", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 660.21875, + "top": 54, + "right": 320, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 296, + "height": 128.09375, + "top": 578.125, + "right": 308, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-empty-390", + "pngSha256": "b9bd3a826f01d4e4aa0b498bda080af60cf16f7f9064f7945da07c307601c843", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 660.21875, + "top": 54, + "right": 390, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 366, + "height": 128.09375, + "top": 578.125, + "right": 378, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-390", + "pngSha256": "e563e2412421c1d74165b9f95908417ade93e100be3b13fac63e120276fe3424", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1675, + "scrollHeight": 2077, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 178.59375, + "width": 300, + "height": 111.78125, + "top": 178.59375, + "right": 363, + "bottom": 290.375, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-390", + "pngSha256": "af9ff145fea715cd8672865a281add67e6f8e748f86e8ecae9bc889841a47eb2", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3338, + "scrollHeight": 3740, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 63, + "y": 200.609375, + "width": 300, + "height": 89.390625, + "top": 200.609375, + "right": 363, + "bottom": 290, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-again-390", + "pngSha256": "47e2998036ac45a2496d02644c3afa477efa76d9c1ea5f6dac7b32f167c2304d", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3338, + "scrollHeight": 3740, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 63, + "y": 200.609375, + "width": 300, + "height": 89.390625, + "top": 200.609375, + "right": 363, + "bottom": 290, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-text-200-390", + "pngSha256": "bdf18a7e6bc1b013b27630e951738c179113063953237df82513ddfdf79734c4", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 8765, + "scrollHeight": 9166, + "clientHeight": 359, + "box": { + "x": 0, + "y": 96.390625, + "width": 390, + "height": 359.375, + "top": 96.390625, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 166, + "clientHeight": 166, + "box": { + "x": 63, + "y": 96.140625, + "width": 300, + "height": 166.59375, + "top": 96.140625, + "right": 363, + "bottom": 262.734375, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 196, + "clientHeight": 196, + "box": { + "x": 12, + "y": 251.484375, + "width": 366, + "height": 196.28125, + "top": 251.484375, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BUTTON", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-recovered-390", + "pngSha256": "f2d39f27f30c056d523de3f8c24a7bf6ef0cebca40a9c6b0342198dbbdf84120", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 4273, + "scrollHeight": 4675, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-accumulated-390", + "pngSha256": "9c23379b7875c72059563075e9da2fd8e88a9bd5a82d5634f37aff33721bebe0", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 22365, + "scrollHeight": 22767, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.609375, + "width": 366, + "height": 128.09375, + "top": 319.609375, + "right": 378, + "bottom": 447.703125, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-reloaded-390", + "pngSha256": "299c36560e79eeaadea88eb6c5d512f2e8e3f38f89bd6e991606fe6f8e2a1d19", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 660.21875, + "top": 54, + "right": 390, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 366, + "height": 128.09375, + "top": 578.125, + "right": 378, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-empty-768", + "pngSha256": "7207a189acbc81f7063579fa7a0df3ff81f18b3702c4e98755ed2152ec3efafb", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 795, + "clientHeight": 795, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 794.8125, + "top": 54, + "right": 768, + "bottom": 848.8125, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 729.765625, + "width": 732, + "height": 111.046875, + "top": 729.765625, + "right": 750, + "bottom": 840.8125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-768", + "pngSha256": "cc3f487d37290d886c9db00654f02fe62f199514b1d5795669b11dea416b6ff2", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1209, + "scrollHeight": 1673, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.09375, + "width": 614.15625, + "height": 89.390625, + "top": 279.09375, + "right": 683.15625, + "bottom": 368.484375, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.484375, + "width": 732, + "height": 111.046875, + "top": 398.484375, + "right": 750, + "bottom": 509.53125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-768", + "pngSha256": "387bc145a76e2d9f74bbb20ee365f451609b44892a7db056a1d4782fa71b82cd", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2568, + "scrollHeight": 3032, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.1875, + "width": 614.15625, + "height": 89.390625, + "top": 279.1875, + "right": 683.15625, + "bottom": 368.578125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.578125, + "width": 732, + "height": 111.046875, + "top": 398.578125, + "right": 750, + "bottom": 509.625, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-again-768", + "pngSha256": "a5b773a7538216c05ac1e70dbb67ba669ce485772a9c71440a67f50dbab0f8e9", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2568, + "scrollHeight": 3032, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.1875, + "width": 614.15625, + "height": 89.390625, + "top": 279.1875, + "right": 683.15625, + "bottom": 368.578125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.578125, + "width": 732, + "height": 111.046875, + "top": 398.578125, + "right": 750, + "bottom": 509.625, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-recovered-768", + "pngSha256": "62e3641014010fa60a62b4039a66cfef1ffac81fed468530f0d03717f97319b9", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3283, + "scrollHeight": 3747, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.9375, + "width": 732, + "height": 111.046875, + "top": 398.9375, + "right": 750, + "bottom": 509.984375, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-reloaded-768", + "pngSha256": "8ff8dc987409066bd07225af18517486c5b5c6f813cfdd5504cc76c2ad83942e", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 795, + "clientHeight": 795, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 794.8125, + "top": 54, + "right": 768, + "bottom": 848.8125, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 729.765625, + "width": 732, + "height": 111.046875, + "top": 729.765625, + "right": 750, + "bottom": 840.8125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-empty-1024", + "pngSha256": "e23b57298adb8e30ed14961e8045fc74e864a36b8afc297ef6c767dbed2f8435", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-1024", + "pngSha256": "19f436264149d024371b2565647bfad525185a0af559b9ef9c187cbb0420c762", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 867, + "scrollHeight": 1773, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.859375, + "width": 522.625, + "height": 89.390625, + "top": 729.859375, + "right": 591.625, + "bottom": 819.25, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-1024", + "pngSha256": "dfb895ca1f055fd10ab3004110d02de994574d75fc26e8fd1302f8feac448adb", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2290, + "scrollHeight": 3196, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.9375, + "width": 522.625, + "height": 89.390625, + "top": 729.9375, + "right": 591.625, + "bottom": 819.328125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-again-1024", + "pngSha256": "8eb45f3bcb807c3da92f1fc11421f482ecf820b11d24312356d1957a3e4760bb", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2290, + "scrollHeight": 3196, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.9375, + "width": 522.625, + "height": 89.390625, + "top": 729.9375, + "right": 591.625, + "bottom": 819.328125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-recovered-1024", + "pngSha256": "600ab31ced1cfa2edfa32162cf7be520d1bf382a7db04f9871ab88c7d84405ba", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3025, + "scrollHeight": 3931, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.890625, + "width": 628, + "height": 103.046875, + "top": 848.890625, + "right": 646, + "bottom": 951.9375, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-reloaded-1024", + "pngSha256": "d6fa2367bfddb43e403ec29b2576a43472266c4550095b0258d0b32d01d50f0f", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-empty-1440", + "pngSha256": "9df2233c08677cb5ed6b57c61576426fba4f2cecaf2aaa706d9f6d8130115314", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-1440", + "pngSha256": "4619a99fe9657d6d64a65e92564c7a01f122412bc4645b87a94ab0c7570b7548", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 738, + "scrollHeight": 1644, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.296875, + "width": 659.90625, + "height": 89.390625, + "top": 729.296875, + "right": 858.90625, + "bottom": 818.6875, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.6875, + "width": 784, + "height": 103.046875, + "top": 848.6875, + "right": 932, + "bottom": 951.734375, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-1440", + "pngSha256": "fddc0dcd06cbf496223a9112e613dcb028464575017d69118fafe6db243e6a22", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 858.90625, + "bottom": 818.984375, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-again-1440", + "pngSha256": "b1121b1b4787ec2cd9ee39ec5951ccf6eaaf8ce12c251e8caf876809c016a097", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 858.90625, + "bottom": 818.984375, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-recovered-1440", + "pngSha256": "8ea5a53080663fbe604cda63125de36fbe3af90da626d0f72097e116334fdf31", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2771, + "scrollHeight": 3677, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.546875, + "width": 784, + "height": 103.046875, + "top": 848.546875, + "right": 932, + "bottom": 951.59375, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "BODY", + "label": null + }, + "buttons": [ + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-reloaded-1440", + "pngSha256": "ebaa0f4ac8cfdd334ce6e450cf3348b52383f1b93404440af88d8f4114c812a0", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-empty-1920", + "pngSha256": "818a292fde451cfa81350e1d83f5006f6d08ee6869c9a67c2eefa5af70bbdfa0", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] + } + }, + { + "name": "source-stopped-1920", + "pngSha256": "2255e7ba28836bc66cb39a582f083a34cdb8845447541fd56118ccd8fcd13e26", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 738, + "scrollHeight": 1644, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 439, + "y": 729.296875, + "width": 659.90625, + "height": 89.390625, + "top": 729.296875, + "right": 1098.90625, + "bottom": 818.6875, + "left": 439 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.6875, + "width": 784, + "height": 103.046875, + "top": 848.6875, + "right": 1172, + "bottom": 951.734375, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n12 entities · 26 edges\nRelationship graph\n\n12 entities · 26 of 26 relationships shown\n\nfit\nevidence\n(5)\ntraversal\n(21)\n· local", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Retry response", + "disabled": false + }, + { + "label": "Send", + "disabled": true + }, + { + "label": "fit", + "disabled": false + } + ] + } + }, + { + "name": "source-error-1920", + "pngSha256": "655749b5d6a74aeb8a96cd504a41242999c21686a9fdea3459374c238f3b20b9", + "state": { + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 439, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 1098.90625, + "bottom": 818.984375, + "left": 439 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. 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The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. 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    NodeAgenton assistant-ui

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.html new file mode 100644 index 0000000..3629db6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

    NodeAgenton assistant-ui

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Does our wedge hold versus Acme, and does the runway model survive 18 months?

    Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

    Gather room context3 items · 2 active
    0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
    0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
    0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
    Search & synthesizehigh · grounded 3/4
    RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
    DOC[2] finance://burn — runway model0.56
    DOC[3] diligence://wedge — competitive note0.44
    WEB[4] Acme teardown blog — Why context rooms lose0.11
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
    Update modelv2 · 2 cells
    Net burn / mo ($k)420
    Cash on hand ($k)7560
    Runway (months)18
    ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
    Write memo5 blocks

    Acme — diligence memo

    The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

    ◆ Claim · grounded 3/4
    Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

    ⌗ room://benchmark — wedge holds vs Acme on latency

    Model updated to v2 (2 cells).

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.json new file mode 100644 index 0000000..78981d3 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-accumulated-390.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 22365, + "scrollHeight": 22767, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.609375, + "width": 366, + "height": 128.09375, + "top": 319.609375, + "right": 378, + "bottom": 447.703125, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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zrP|uX;$0Jzt@#vKP}er8FS9pzRj0){eth0{^3%kK)F?D=z@q-6Q&Y5*eI=oTi~w|B z6M?aPV^8@Z2|v}ec0%SoY3qibK3>)TErr7z>#)|g{b#_|Rl$;M6%4=bo{ppH5sSDZ z&&;3{^)eG_-UfsrZsa4*Pkd$L0t(I=o!kBmfqM}22eV3IA}*tz<5r1@(sV(rZdeQNT*S{gDjt|K14VTq2O?wD9C? zOyY3(!{Tmev&FUO%m!c@^wAoV?nVEA5r7gg_gER9s-UPFo*N@lB)i+JC@(({u(|;V zeJms=ucRxdW9{raF0yA9GM-<5m^khTao9E|W3J2V + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.html new file mode 100644 index 0000000..1955a82 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.json new file mode 100644 index 0000000..5897bc4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1024.png new file mode 100644 index 0000000000000000000000000000000000000000..1962adf0acf1a664097f88dc90f6dc4de813968c GIT binary patch literal 76717 zcmXtfcRZWz_doTtv>w&gs$EqSMb(~ZODQ#KZ>nmq+B@l>YPWW+RBb`*Eosf7#7^xk z2!a@itY4nb>-Wt+ckb8gPOfubXI$^|KIg=}G|*bbjm9Z)8*Ucsek7Dh=At 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.json new file mode 100644 index 0000000..8c9b559 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1440.png new file mode 100644 index 0000000000000000000000000000000000000000..c80b67ade0d3ff7986197c82d9a274a14858ae78 GIT binary patch literal 84810 zcmYJa2UHVX)CG#7q9X7qC`yYBL1_xon~G8eq<0YMy?01dM5H%qq1T9nCIqA<0#c;c z0HH*B2@py`NJ5eq|Ns5(&B{vFnl*EC=bm%V*=L_UF>iF#ST1v2W?*1o(NKS>&%kiL 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file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.json new file mode 100644 index 0000000..76d7f10 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-1920.png new file mode 100644 index 0000000000000000000000000000000000000000..3447693914ca2952f7b80a380c14962f275418e7 GIT binary patch literal 87602 zcmYg%by$=A_dh-cDgyGLAW|v{BBgXsMMR_&q+-wEPxGwJ9^*-mkPrT0Sj(udT$9ekVX*M=CPW=b>Oxf7jU$C(q 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0000000..1faa05a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.html new file mode 100644 index 0000000..1faa05a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.json new file mode 100644 index 0000000..677012d --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 660.21875, + "top": 54, + "right": 320, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 296, + "height": 128.09375, + "top": 578.125, + "right": 308, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-320.png new file mode 100644 index 0000000000000000000000000000000000000000..7cab249ec657d72aef6791f8897e88b0643786a8 GIT binary patch literal 57493 zcmb@t^;eYN_y0`^A|;}9NJvS}(A^{kM5x;;mugnITwAaQ6I=d96AdUL2EYg*D)P-u9nK z^@)#D7UlxH>SW1fQQFqXK0|8*1zFkRcgakzU*j$Rpj!_1xgJ_|ZG+2+=B!<+OLb-C zJY>1q`COZHrI+Hx_v@7FvMVq?bLDCD^?8B$l%AwaH>5|B{Sre9GnX#u6xb#l1FueH z49)Q~bj8%S2Sp7^Bz+<|&|`rg=1yF?OKLJ>C%Nbb^EP2OJeboV{M;b^SD0`TiI9-- zxA|Cb>KhQ~@0L~N#E>McAH(3!qVyr4h{}aEwde+wM`6| zg?XVF3=SoI?n3FqnLXfS$4oV-(#%2C(8Gz8pq9?>Yg#0dFo5SoohQ;CB(BN@mKu{> z_i+AAOM3QCo%_)h)0$iocOpVnz$CNeq;HgYuX1j>0YiR?(D^6ws2i1dl*(EMdcH74 zB1gYCb$X+`(|e|vuPHXig7M|t>q-QE4-aO%pLttPl) z2lA&s2gYhs@nqebDw=B$OTEx`k)A7hU4tJQxY1pNfe>M633_ppTo|vgzsb($mrFJT zvGaVe6 z@3_0he0ZRp+T)3*0z!u4*Mje7(kCXgXWuoHZcEYAb5~uM1=IeuLHxL+;L(7Je3&dc zH?5AP7jWPB?2q)Y8+}JF=;?P_emY%FR;rnWx-JJguNq(9?^cm+6hxC3$por89t;Ba zEVH{-1Jfl%)_yB~9@TP(i}q-;zjU1P@bWl6J?&4Ca#6Kd>uUUy`Ad)oz)+S46L_lE z2$4eC*%xFLhNU;~{g|^!NQcd9W4QPH_NtAXoGL$f|2yYuOhdDD%hh)| zP^9=@_%t>~-@EZ5kVkXHzQueNbqX)Y1j{P_lIym&w<;(_G&MERNe0z7Hqt&E9-at! 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.html new file mode 100644 index 0000000..9a19b25 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.json new file mode 100644 index 0000000..e6697fb --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 660.21875, + "top": 54, + "right": 390, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 366, + "height": 128.09375, + "top": 578.125, + "right": 378, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-390.png new file mode 100644 index 0000000000000000000000000000000000000000..f02e77cae0cbe8f3c593737e7cff68c0adf209e1 GIT binary patch literal 58620 zcmYhicQl)C{6605R4t`SsZ9`qHdgK0VvE(7rAf_F)QVL_?U4u?BWUeev1)fv5^C?+ z+B-F3({J9N&+l{2@1LBU=bY!cpZmUF_w{;R*Y$d$4fQqe++w|T>C&Y;5G^(6rAwFJ 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.html new file mode 100644 index 0000000..4c9e5e6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.json new file mode 100644 index 0000000..cc5d159 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 795, + "clientHeight": 795, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 794.8125, + "top": 54, + "right": 768, + "bottom": 848.8125, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 729.765625, + "width": 732, + "height": 111.046875, + "top": 729.765625, + "right": 750, + "bottom": 840.8125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-empty-768.png new file mode 100644 index 0000000000000000000000000000000000000000..8c6e979a73bb3e43c5c8040e431ba50307a939c9 GIT binary patch literal 77197 zcmXteWmKD8*ECiF6qi!mp|}-EaVhTZP^7peP@EKKad(&E?h>5hPH}e+?#{>ktndAo zWSwiRoHN(#nLYc2s3=Kepb?|N!NFn3%1Elg!6CkVMC?RC`0tnZA@*=^*l@CvVjAx0 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.html new file mode 100644 index 0000000..b43ca0f --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.json new file mode 100644 index 0000000..5dfe57c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1024.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2290, + "scrollHeight": 3196, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.9375, + "width": 522.625, + "height": 89.390625, + "top": 729.9375, + "right": 591.625, + "bottom": 819.328125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.html new file mode 100644 index 0000000..67e5021 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.json new file mode 100644 index 0000000..f97cfce --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1440.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 858.90625, + "bottom": 818.984375, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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zrEUTuw;xPFn(u>mPYb4Q(0)0nuc!MyRy#$ExPN~-p)nL3B2d8jTps-6@o_UY=Myl1 zTFFE>5p>A4B{(rvoD%-aCRb>>p>|pcos1O=Hh?U}M@88Oy3JUO=V~36CFbSX*-l(> ztWu3M84hD;!OQk!i6k_ZThL^F@+!p{pw@o>LpHIQex8#sXjXnn60tqO zCR1K-ZlL=kd=?Sp?#Mf<(NmQH=U6Dva?YI1#jJc8+LUC^jblv@B`l2WY5 zv3hs-e@~q11e`!=HpA7MH#E$yjmeHfvsgYI4f|D5VK7d|({xKa&imO29BcimmmG;7pf; zOLS#j9e3owM0aoRriQt5jGwiKDvf$KHy^eGa82NJTdwc@$L%C?0}w3#2hNqa6Wn^} z;_eo|2ouJ#EQ9xnRG;3Zi-~5yHXrT6fP$c#rpVgquu0H&sU~+e9^_ShS p|KCr5xH~%#oypxWV!M5;sEFMjtHyf&{;A!N_O^~TFRZWM`!~GTN9F(k literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.before.html new file mode 100644 index 0000000..64b815a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.html new file mode 100644 index 0000000..64b815a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.json new file mode 100644 index 0000000..9340c99 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-1920.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 439, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 1098.90625, + "bottom": 818.984375, + "left": 439 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.html new file mode 100644 index 0000000..b269c48 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.json new file mode 100644 index 0000000..2f2c090 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-320.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3879, + "scrollHeight": 4281, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 177.90625, + "width": 230, + "height": 111.78125, + "top": 177.90625, + "right": 293, + "bottom": 289.6875, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.html new file mode 100644 index 0000000..ff1226d --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.json new file mode 100644 index 0000000..c27b26c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-390.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3338, + "scrollHeight": 3740, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 63, + "y": 200.609375, + "width": 300, + "height": 89.390625, + "top": 200.609375, + "right": 363, + "bottom": 290, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.html new file mode 100644 index 0000000..9159834 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.json new file mode 100644 index 0000000..0fb7cf8 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-768.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2568, + "scrollHeight": 3032, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.1875, + "width": 614.15625, + "height": 89.390625, + "top": 279.1875, + "right": 683.15625, + "bottom": 368.578125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.578125, + "width": 732, + "height": 111.046875, + "top": 398.578125, + "right": 750, + "bottom": 509.625, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.html new file mode 100644 index 0000000..ea3a8a2 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.json new file mode 100644 index 0000000..5dfe57c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1024.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2290, + "scrollHeight": 3196, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.9375, + "width": 522.625, + "height": 89.390625, + "top": 729.9375, + "right": 591.625, + "bottom": 819.328125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + + + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.html new file mode 100644 index 0000000..4ddf6e9 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.json new file mode 100644 index 0000000..48cb579 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1440.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 858.90625, + "bottom": 818.984375, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.html new file mode 100644 index 0000000..a7319b5 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.json new file mode 100644 index 0000000..9340c99 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-1920.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2076, + "scrollHeight": 2982, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 439, + "y": 729.59375, + "width": 659.90625, + "height": 89.390625, + "top": 729.59375, + "right": 1098.90625, + "bottom": 818.984375, + "left": 439 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.html new file mode 100644 index 0000000..21daa68 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.json new file mode 100644 index 0000000..4c136e6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-320.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3879, + "scrollHeight": 4281, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 177.90625, + "width": 230, + "height": 111.78125, + "top": 177.90625, + "right": 293, + "bottom": 289.6875, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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i{swk{^amrrzu;r}uAE60Km{9lAup{WRViT_@;?A + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.html new file mode 100644 index 0000000..48dd20c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.json new file mode 100644 index 0000000..c27b26c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-390.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3338, + "scrollHeight": 3740, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 63, + "y": 200.609375, + "width": 300, + "height": 89.390625, + "top": 200.609375, + "right": 363, + "bottom": 290, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.before.html new file mode 100644 index 0000000..4317ca4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.html new file mode 100644 index 0000000..4317ca4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.json new file mode 100644 index 0000000..22d5f4a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-again-768.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2568, + "scrollHeight": 3032, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.1875, + "width": 614.15625, + "height": 89.390625, + "top": 279.1875, + "right": 683.15625, + "bottom": 368.578125, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.578125, + "width": 732, + "height": 111.046875, + "top": 398.578125, + "right": 750, + "bottom": 509.625, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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zhBR@E6;|s_&x-yA&H%8Er|mOEP=wuY2x;bP`Bx&WonZa7x>v4rgdx*z9zg9<= z(WYFZj+mA;Mns@zwXT)`V?=K}vuiSW>T4`tlX`dK6?d&ukX;gf$xqvJ`HU zB06E90Np}O427M=lq*M{-aDoEciQC?BvtBy;~G@YjK~gZm;8Ip$*CxNJk*en7#o)fmo%DmaG;upSFiUNy?3--K5KC{YuW7T zOmv#tnxfEhO=F5BbhcJc=kLtY+!-q!KxFh(!U7Z5AC+B-Mnxd?VOu3Xv@c#kAdTYM` literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.before.html new file mode 100644 index 0000000..4ba805c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.html new file mode 100644 index 0000000..4ba805c --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.json new file mode 100644 index 0000000..1022e6d --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-error-text-200-390.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 8765, + "scrollHeight": 9166, + "clientHeight": 359, + "box": { + "x": 0, + "y": 96.390625, + "width": 390, + "height": 359.375, + "top": 96.390625, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 166, + "clientHeight": 166, + "box": { + "x": 63, + "y": 96.140625, + "width": 300, + "height": 166.59375, + "top": 96.140625, + "right": 363, + "bottom": 262.734375, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 196, + "clientHeight": 196, + "box": { + "x": 12, + "y": 251.484375, + "width": 366, + "height": 196.28125, + "top": 251.484375, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nfailed\n\nThis response failed. Earlier results are kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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+ + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.html new file mode 100644 index 0000000..78186b0 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.json new file mode 100644 index 0000000..0044db0 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1024.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3025, + "scrollHeight": 3931, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.890625, + "width": 628, + "height": 103.046875, + "top": 848.890625, + "right": 646, + "bottom": 951.9375, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.html new file mode 100644 index 0000000..d9a3848 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.json new file mode 100644 index 0000000..0def90a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1440.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2771, + "scrollHeight": 3677, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.546875, + "width": 784, + "height": 103.046875, + "top": 848.546875, + "right": 932, + "bottom": 951.59375, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.html new file mode 100644 index 0000000..3aa0287 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.json new file mode 100644 index 0000000..2eabf98 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-1920.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 2771, + "scrollHeight": 3677, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.546875, + "width": 784, + "height": 103.046875, + "top": 848.546875, + "right": 1172, + "bottom": 951.59375, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-320.json new file mode 100644 index 0000000..78ac88e --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-320.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 5017, + "scrollHeight": 5419, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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0000000..4825bec --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.html new file mode 100644 index 0000000..4825bec --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.json new file mode 100644 index 0000000..e7c3748 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-390.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 4273, + "scrollHeight": 4675, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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z$9xV`b8|{cYO(uyy7Es!Q23Ge_e)UqF7yQ9KZXnYp$YXM{mAGZN>KaZgS?E2bhV^u G$o~Zjh$~3| literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.before.html new file mode 100644 index 0000000..4ab48d8 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.html new file mode 100644 index 0000000..4ab48d8 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.json new file mode 100644 index 0000000..36b3cb6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-recovered-768.json @@ -0,0 +1,60 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 3283, + "scrollHeight": 3747, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.9375, + "width": 732, + "height": 111.046875, + "top": 398.9375, + "right": 750, + "bottom": 509.984375, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.html new file mode 100644 index 0000000..1955a82 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.json new file mode 100644 index 0000000..5897bc4 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1024.png new file mode 100644 index 0000000000000000000000000000000000000000..10a717c1b6bcbd541bb348add12bd02f59d648bb GIT binary patch literal 76656 zcmX`ScT|(j^FEC7C?YB<0xC^ZK%|NE8l*~>-id%n2@oOl5>P>!fYNKC^p2F!A&L~K zp(8a?Lk|!_NqzJAp7VS6pCsq(oqNvi?96ptGaLKLKg~#n 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ze~PNpFO4(iDScOW{RIe|fr041>oozM0C4lamT7+PSN(6d_5Tk;yzfuo literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.before.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + + + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.json new file mode 100644 index 0000000..8c9b559 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 932, + "bottom": 952, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1440.png new file mode 100644 index 0000000000000000000000000000000000000000..960be06fb28709598e69a634c40ed83388a077b4 GIT binary patch literal 84759 zcmYJa2{=@L*aobBix5*OvR9HMRQ7c$m7S2CBw5G4WEnG4R6;01)*<`8@5_X2*#~1C zV`q%9j~QnBruY5c?>pDU5+PX zfX&ku^agoYalH0TOu?IDd(?6thlQS2?5icmuTx?bZ 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ruQ~$m9zd6u>soD`z(2$UJC6wDtlL;KLnlK`Xs(K)rb4mYn@|4_k6NE( literal 0 HcmV?d00001 diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.before.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.before.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.html new file mode 100644 index 0000000..3aac0aa --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.json new file mode 100644 index 0000000..76d7f10 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 906, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.953125, + "width": 784, + "height": 103.046875, + "top": 848.953125, + "right": 1172, + "bottom": 952, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-1920.png new file mode 100644 index 0000000000000000000000000000000000000000..3447693914ca2952f7b80a380c14962f275418e7 GIT binary patch literal 87602 zcmYg%by$=A_dh-cDgyGLAW|v{BBgXsMMR_&q+-wEPxGwJ9^*-mkPrT0Sj(udT$9ekVX*M=CPW=b>Oxf7jU$C(q 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index 0000000..1faa05a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.before.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.html new file mode 100644 index 0000000..1faa05a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.json new file mode 100644 index 0000000..677012d --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-320.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 660.21875, + "top": 54, + "right": 320, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 296, + "height": 128.09375, + "top": 578.125, + "right": 308, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.html new file mode 100644 index 0000000..9a19b25 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.json new file mode 100644 index 0000000..e6697fb --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 660, + "clientHeight": 660, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 660.21875, + "top": 54, + "right": 390, + "bottom": 714.21875, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 578.125, + "width": 366, + "height": 128.09375, + "top": 578.125, + "right": 378, + "bottom": 706.21875, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-390.png new file mode 100644 index 0000000000000000000000000000000000000000..e9886d057f8611d65e624e5aadeb15dfa525ea70 GIT binary patch literal 58600 zcmXuKcT|(x^F8dfp`su~5a}e8P_HN;LO?p96Plr^kVppsX`x*Oq?d#cqzh7{OXwx& zrAQ$3-Vq4B2_*FL=6-(f_m8ZV^<=F%bLO0RX74?dNCQ2Mdv_k)xpL*oJ&2|%^vadL 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      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.html new file mode 100644 index 0000000..4c9e5e6 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.json new file mode 100644 index 0000000..cc5d159 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.json @@ -0,0 +1,64 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 0, + "scrollHeight": 795, + "clientHeight": 795, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 794.8125, + "top": 54, + "right": 768, + "bottom": 848.8125, + "left": 0 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 729.765625, + "width": 732, + "height": 111.046875, + "top": 729.765625, + "right": 750, + "bottom": 840.8125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n◆\nAsk the room\n\nNodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.\n\nDoes our wedge hold + survive 18 months? →\nWhat changed since last update? →\n↑\n\nDeterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.\n\nSession graph\n0 entities · 0 edges\n\nAsk the room a question — each loop step streams the entities it actually touched into this graph.", + "overflow": 0, + "focus": { + "tag": "TEXTAREA", + "label": null + }, + "buttons": [ + { + "label": "Does our wedge hold + survive 18 months? →", + "disabled": false + }, + { + "label": "What changed since last update? →", + "disabled": false + }, + { + "label": "Send", + "disabled": true + } + ] +} diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.png b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-reloaded-768.png new file mode 100644 index 0000000000000000000000000000000000000000..df28e168229d0c05c734c0595f45031aa3ae3cf8 GIT binary patch literal 77201 zcmXteWmFr@`!>ZXS}3Ksdy5t;Ufd}zL5dcKP~4?xad(H}F2SL=yE_T)7A)lD`M>A) zZFkS?*`2xPnoDNFRh4D1-;%sVKtRBjla*9MKtOuEMCwLI{O<{7xE%rl9)g^txQ2V? 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.html new file mode 100644 index 0000000..c3a5f46 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.json new file mode 100644 index 0000000..1070440 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1024.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 867, + "scrollHeight": 1773, + "clientHeight": 906, + "box": { + "x": 0, + "y": 54, + "width": 664, + "height": 906, + "top": 54, + "right": 664, + "bottom": 960, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 729.859375, + "width": 522.625, + "height": 89.390625, + "top": 729.859375, + "right": 591.625, + "bottom": 819.25, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 18, + "y": 848.953125, + "width": 628, + "height": 103.046875, + "top": 848.953125, + "right": 646, + "bottom": 952, + "left": 18 + } + } + ], + "viewport": { + "width": 1024, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.html new file mode 100644 index 0000000..7b429d7 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.json new file mode 100644 index 0000000..10b3470 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1440.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 738, + "scrollHeight": 1644, + "clientHeight": 906, + "box": { + "x": 130, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 950, + "bottom": 960, + "left": 130 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 199, + "y": 729.296875, + "width": 659.90625, + "height": 89.390625, + "top": 729.296875, + "right": 858.90625, + "bottom": 818.6875, + "left": 199 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 148, + "y": 848.6875, + "width": 784, + "height": 103.046875, + "top": 848.6875, + "right": 932, + "bottom": 951.734375, + "left": 148 + } + } + ], + "viewport": { + "width": 1440, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.html new file mode 100644 index 0000000..4ff69c0 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.json new file mode 100644 index 0000000..ba36d01 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-1920.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 738, + "scrollHeight": 1644, + "clientHeight": 906, + "box": { + "x": 370, + "y": 54, + "width": 820, + "height": 906, + "top": 54, + "right": 1190, + "bottom": 960, + "left": 370 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 439, + "y": 729.296875, + "width": 659.90625, + "height": 89.390625, + "top": 729.296875, + "right": 1098.90625, + "bottom": 818.6875, + "left": 439 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 103, + "clientHeight": 103, + "box": { + "x": 388, + "y": 848.6875, + "width": 784, + "height": 103.046875, + "top": 848.6875, + "right": 1172, + "bottom": 951.734375, + "left": 388 + } + } + ], + "viewport": { + "width": 1920, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.html new file mode 100644 index 0000000..94e3622 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.json new file mode 100644 index 0000000..b20b2dc --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-320.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1965, + "scrollHeight": 2367, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 320, + "height": 401.765625, + "top": 54, + "right": 320, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 178.53125, + "width": 230, + "height": 111.78125, + "top": 178.53125, + "right": 293, + "bottom": 290.3125, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 296, + "height": 128.09375, + "top": 319.671875, + "right": 308, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 320, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.html new file mode 100644 index 0000000..284b62a --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.json new file mode 100644 index 0000000..f1f8621 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-390.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1675, + "scrollHeight": 2077, + "clientHeight": 402, + "box": { + "x": 0, + "y": 54, + "width": 390, + "height": 401.765625, + "top": 54, + "right": 390, + "bottom": 455.765625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 63, + "y": 178.59375, + "width": 300, + "height": 111.78125, + "top": 178.59375, + "right": 363, + "bottom": 290.375, + "left": 63 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 128, + "clientHeight": 128, + "box": { + "x": 12, + "y": 319.671875, + "width": 366, + "height": 128.09375, + "top": 319.671875, + "right": 378, + "bottom": 447.765625, + "left": 12 + } + } + ], + "viewport": { + "width": 390, + "height": 844 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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@@ + + + + + + + + + + NodeAgent — React demo + + + + + + + + + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.html b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.html new file mode 100644 index 0000000..95544a3 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.html @@ -0,0 +1,271 @@ + + + + + + + + + + NodeAgent — React demo + + + + + + + +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + + + + \ No newline at end of file diff --git a/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.json b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.json new file mode 100644 index 0000000..3ea80e1 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f-nodeagent-header-recovery-01/source-stopped-768.json @@ -0,0 +1,80 @@ +{ + "layout": [ + { + "class": "na-viewport", + "scrollTop": 1209, + "scrollHeight": 1673, + "clientHeight": 464, + "box": { + "x": 0, + "y": 54, + "width": 768, + "height": 464.40625, + "top": 54, + "right": 768, + "bottom": 518.40625, + "left": 0 + } + }, + { + "class": "na-recovery", + "scrollTop": 0, + "scrollHeight": 88, + "clientHeight": 88, + "box": { + "x": 69, + "y": 279.09375, + "width": 614.15625, + "height": 89.390625, + "top": 279.09375, + "right": 683.15625, + "bottom": 368.484375, + "left": 69 + } + }, + { + "class": "na-footer", + "scrollTop": 0, + "scrollHeight": 111, + "clientHeight": 111, + "box": { + "x": 18, + "y": 398.484375, + "width": 732, + "height": 111.046875, + "top": 398.484375, + "right": 750, + "bottom": 509.53125, + "left": 18 + } + } + ], + "viewport": { + "width": 768, + "height": 960 + }, + "scroll": { + "x": 0, + "y": 0 + }, + "text": "NodeAgent\non assistant-ui\nPrototype ↗\nGitHub ↗\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nDone. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.\n\n💬\nGather room context\n3 items · 2 active\n0.20\nDOCUMENT\nI pushed the retrieval-latency benchmark doc to the room earlier.\n0.19\nMESSAGE\nAcme just dropped a competing teardown of our wedge. Investor call is in 40.\n0.03\nMESSAGE\nFinance flagged burn crept to 420k/mo after the two senior hires.\n🔎\nSearch & synthesize\nhigh · grounded 3/4\nRAG\n[1] room://benchmark — wedge holds vs Acme on latency\n0.44\nDOC\n[2] finance://burn — runway model\n0.56\nDOC\n[3] diligence://wedge — competitive note\n0.44\nWEB\n[4] Acme teardown blog — Why context rooms lose\n0.11\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n▦\nUpdate model\nv2 · 2 cells\nNet burn / mo ($k)\t420\nCash on hand ($k)\t7560\nRunway (months)\t18\n↳ Correct base burn to the finance-audited 420k (was stress figure 510k).\n✎\nWrite memo\n5 blocks\nAcme — diligence memo\n\nThe room asked: \"Does our wedge hold versus Acme, and does the runway model survive 18 months?\"\n\n◆ CLAIM · GROUNDED 3/4\nBest-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.\n\n⌗ room://benchmark — wedge holds vs Acme on latency\n\nModel updated to v2 (2 cells).\n\nDoes our wedge hold versus Acme, and does the runway model survive 18 months?\n\n◆\n\nOn it — pulling the room context, then searching, updating the model, and writing the memo.\n\n💬\nGather room context\nstopped\n\nStopped this response. Completed work is kept.\n\nRetry response\n↑\n\nDeterministic demo — no keys. 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display: flex; } +diff --git a/src/features/node-agent/components/NodeAgentDemoApp.tsx b/src/features/node-agent/components/NodeAgentDemoApp.tsx +index 5cce69c..aa00f8c 100644 +--- a/src/features/node-agent/components/NodeAgentDemoApp.tsx ++++ b/src/features/node-agent/components/NodeAgentDemoApp.tsx +@@ -34,12 +34,14 @@ export function NodeAgentDemoApp() { + on assistant-ui +

      3. NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room contextstopped

      Stopped this response. Completed work is kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      NodeAgenton assistant-ui

      Ask the room

      NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      + +- +- Prototype ↗ +- +- +- GitHub ↗ +- ++ + + +
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JetBrains Mono font check false.", + "Existing enlarged empty-state clipping and graph readability are outside this header owner.", + "Source-only header; generated consumer unchanged and not reinstalled in this slice.", + "Original missing vendor sourcemap warnings retained." + ], + "evidence": [ + "E6f_NODEAGENT_HEADER_REPAIR_PLAN.md", + "E6f-nodeagent-header-before-01/report.json", + "E6f-nodeagent-header-after-01/report.json", + "E6f-nodeagent-header-recovery-01/report.json", + "E6f-nodeagent-header-checks/commands.json" + ] +} diff --git a/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_JUDGE.json b/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_JUDGE.json new file mode 100644 index 0000000..a5a4939 --- /dev/null +++ b/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_JUDGE.json @@ -0,0 +1,1401 @@ +{ + "schemaVersion": "portfolio.nodeagent-header-independent-judge/v1", + "at": "2026-09-05T10:39:26.985592+00:00", + "verdict": "APPROVED_SCOPED_HEADER_IMPLEMENTATION", + "request": "Independently review the frozen NodeAgent header fix and replay bounded390/1440 behavior without repeating the recovery matrix or changing product files.", + "reviewerContext": "Same nonauthor implementation reviewer; 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the brand and both resource links. The fixed-height overflow is corrected at the header owner; existing empty-state/graph limits remain open. + +**Re your request:** independently judge the frozen header patch with real pixels and bounded native interaction. The two runtime files and three supporting files exactly match the candidate receipt on base `5362505886883b49c8037bf5b9fb4ff2738d47a7`. The other 230 existing source bindings are unchanged. + +The new native `Project resources` navigation groups the same two anchors. Header wrapping, minimum height and nonshrinking ownership keep content in the layout instead of overflowing a 54px row. The root before/after proof closes 91px overflow at 320px and 21px at 390px. All six normal-text header, branding, link and main boxes are exactly unchanged. [Candidate](E6f_NODEAGENT_HEADER_CANDIDATE.json), [actual labelled before](E6f-nodeagent-header-before-01/before-390-text-200-boundary.png). + +Independent replay passed **60 checks / 14 captures** at 390×844 and 1440×960, normal and doubled computed text, with normal motion. Both links are visibly focused and hittable; native pointer/Enter activation requests their exact existing destinations. Destination requests use labelled intercepted documents, so their content is not certified. No page errors, console errors or failed requests occurred in observed app pages. [Raw replay](E6f-nodeagent-header-independent-02/report.json), [focused enlarged Prototype](E6f-nodeagent-header-independent-02/source-390-text-200-focus-0.png), [focused GitHub](E6f-nodeagent-header-independent-02/source-390-text-200-focus-1.png). + +Restoring old layout rules only in browser memory reproduces the 21px overflow and offscreen links; removing that override restores zero overflow. This verifies the causal boundary without changing product files. [Knockout pixels](E6f-nodeagent-header-independent-02/source-390-text-200-old-layout-knockout.png). + +The first probe stopped on an ambiguous selector including assistant-ui's hidden autosize textarea; its failed report and exact probe remain. Selecting the actual composer fixes the probe. A separate initial custody assertion correctly noticed two later numeric citation updates; their before hashes match base and only those references differ. The other 232 recovery inputs match current bytes. + +Root's 145-check/38-capture source recovery, 41 tests and typecheck/build logs pass. Independent tour validation passes 3 tours / 36 steps / 11 citations. Root header captures use reduced motion and 900px height; independent normal-motion/focus captures are separate. No entire recovery matrix was repeated. + +Existing enlarged empty-state clipping and overlapping graph labels remain unresolved. Manrope is loaded; JetBrains Mono check is false. Computed font doubling is not native zoom or real-device verification. Missing vendor source maps remain warnings. No generated consumer, provider, Convex or deployment was changed. The prior 44-row assessment stays historical for `5362505`; final grades remain null. Publication metadata and shared integration still require their own bounded check. + +[Exact inputs, raw artifact hashes and limitations](E6f_NODEAGENT_HEADER_JUDGE.json). diff --git a/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_REPAIR_PLAN.md b/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_REPAIR_PLAN.md new file mode 100644 index 0000000..c6b1e2b --- /dev/null +++ b/evidence/header-reflow-20260905/E6f_NODEAGENT_HEADER_REPAIR_PLAN.md @@ -0,0 +1,11 @@ +Builder. **Re your request:** usable individual repositories with graded visual, responsive and interaction behavior. + +A developer enlarging text must still be able to read the product name and reach its two resource links. At current main5362505, the fixed54px single flex row puts Prototype partly above the viewport and GitHub beyond its right edge:91px document overflow at320 and21px at390. Root inspected three actual labelled3px before boundaries, including unchanged1440 normal text, in E6f-nodeagent-header-before-01. Source stayed byte-identical during all12 cells. + +The cause is content constrained by fixed height and one nonwrapping row. The browser attempts to shrink each link to its longest word, which also separates its arrow onto another line. Simply hiding overflow would conceal destinations; forcing a smaller font would defeat enlargement. The repair belongs to the existing header owner. + +Named proof: **NODEAGENT-ENLARGED-HEADER-01**. Root owns only `src/features/node-agent/components/NodeAgentDemoApp.tsx` header resource grouping and `src/app/styles.css` corresponding header rules. Add a native named navigation group around the two existing links so they wrap together, replace fixed height with content-driven minimum height, allow the header to wrap without flex shrinking, and keep link text/arrow together. This one grouping maps to the observed need to keep related destinations together during wrap. No backend, adapter, provider, data, generated consumer or graph owner changes. + +Verify same before/after twelve320/390/768/1024/1440/1920 normal/doubled-computed-text cells; header/brand/link geometry, keyboard reachability, main below header, existing normal-height identity and current runtime recovery at390/1440. Inspect actual resulting pixels. Record computed text enlargement as a browser diagnostic, not OS/browser zoom certification. Current Manrope font check passes; JetBrains Mono check is false and cannot support a complete font claim. Retain all causal failures. Run typecheck/build and the existing applicable tests; no full product grade upgrade follows automatically. Independent nonauthor source/pixel review precedes publication and integration. + +All prior failures and the historical merged proof remain intact. The original Pi branch is untouched. Source/header proof and a narrow handoff note are the proposed authored publication additions beyond these two owners. The required citation check found the existing media block moved216 to217; its tour numeric anchor and the current testing guide's older181 reference are corrected to217, without changing their meaning. diff --git a/evidence/header-reflow-20260905/README.md b/evidence/header-reflow-20260905/README.md new file mode 100644 index 0000000..7f94a20 --- /dev/null +++ b/evidence/header-reflow-20260905/README.md @@ -0,0 +1,19 @@ +# Source header reflow evidence + +A developer enlarging source-chat text lost the Prototype and GitHub links outside a fixed54px header. A native resource navigation group now wraps together, and the header grows while retaining its normal54px minimum. The two destinations and all six measured normal layouts remain unchanged. + +[Independent judgment](E6f_NODEAGENT_HEADER_JUDGE.md) approves the two runtime owners and three supporting source files on base5362505. Root recorded12 normal/doubled-text cells,72 header assertions and145 existing recovery assertions/38 captures. Independent replay adds60 assertions/14 captures, exact native link requests and an old-layout knockout. All41 tests, typecheck/build and citations pass. [Frozen candidate](E6f_NODEAGENT_HEADER_CANDIDATE.json). + +In a fresh isolated source checkout with Node22, install the checked-in dependencies and Chromium, then run the portable browser proof into a new directory: + +```powershell +npm ci +npx playwright install chromium +node e2e/header-reflow-proof.mjs . "" after +``` + +The proof starts its own loopback Vite server with environment-file loading disabled, uses the actual current source and permits only that server and Google font requests. It closes its own browser/server. Reports bind the checked source bytes; this command checks the header and keyboard reachability, not the full repository. The earlier recovery command is documented in the main handoff and its exact logs remain here. + +The exact original ambiguous-composer probe, citation custody assertion and before snapshots remain raw. Source before captures use reduced motion and900px height; independent390×844/1440×960 captures use normal motion. Enlarged text is a computed-size diagnostic, not native zoom or physical-device proof. Intercepted link destinations prove requests, not remote content. Manrope loads; the JetBrains Mono check is false. Existing enlarged empty-state clipping, graph readability, advisories, provider and complete grades remain open. + +`manifest.json` records exact raw copies and local source provenance. Raw working/index bytes are protected by this directory's attributes; historical receipts keep their original statuses. 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54px; padding: 0 18px; + display: flex; flex-wrap: wrap; flex-shrink: 0; align-items: center; gap: 0 12px; + min-height: 54px; padding: 4px 18px; border-bottom: 1px solid var(--line); background: linear-gradient(180deg, rgba(21, 20, 19, 0.92), rgba(21, 20, 19, 0.7)); backdrop-filter: blur(12px); } /* .na-brand is the

      ; the reset keeps the appbar looking identical. */ -.na-brand { display: flex; align-items: center; gap: 8px; font-weight: 800; letter-spacing: -0.02em; margin: 0; font-size: 14px; line-height: 1.55; } +.na-brand { display: flex; flex-shrink: 0; align-items: center; gap: 8px; font-weight: 800; letter-spacing: -0.02em; margin: 0; font-size: 14px; line-height: 1.55; } .na-dot { width: 10px; height: 10px; border-radius: 50%; background: var(--accent); box-shadow: 0 0 0 0 rgba(217, 119, 87, 0.5); animation: na-breathe 3.4s ease infinite; } @keyframes na-breathe { 0%, 100% { transform: scale(1); box-shadow: 0 0 0 0 rgba(217,119,87,.5);} 50% { transform: scale(1.18); box-shadow: 0 0 0 7px rgba(217,119,87,0);} } .na-ver { color: var(--ink-faint); font-size: 11px; font-weight: 500; } .na-spacer { flex: 1; } -.na-link { font-size: 12px; color: var(--ink-muted); } +.na-resource-links { display: flex; flex-shrink: 0; align-items: center; gap: 12px; } +.na-link { font-size: 12px; color: var(--ink-muted); white-space: nowrap; } .na-link:hover { color: var(--accent); } .na-main { flex: 1; min-height: 0; display: flex; } diff --git a/src/features/node-agent/components/NodeAgentDemoApp.tsx b/src/features/node-agent/components/NodeAgentDemoApp.tsx index 5cce69c..aa00f8c 100644 --- a/src/features/node-agent/components/NodeAgentDemoApp.tsx +++ b/src/features/node-agent/components/NodeAgentDemoApp.tsx @@ -34,12 +34,14 @@ export function NodeAgentDemoApp() { on assistant-ui

      - - Prototype ↗ - - - GitHub ↗ - +

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

      NodeAgenton assistant-ui

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      Done. The wedge holds on high-confidence grounding (3/4), the model now clears 18 months, and the cited memo is ready.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizehigh · grounded 3/4
      RAG[1] room://benchmark — wedge holds vs Acme on latency0.44
      DOC[2] finance://burn — runway model0.56
      DOC[3] diligence://wedge — competitive note0.44
      WEB[4] Acme teardown blog — Why context rooms lose0.11
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.
      Update modelv2 · 2 cells
      Net burn / mo ($k)420
      Cash on hand ($k)7560
      Runway (months)18
      ↳ Correct base burn to the finance-audited 420k (was stress figure 510k).
      Write memo5 blocks

      Acme — diligence memo

      The room asked: "Does our wedge hold versus Acme, and does the runway model survive 18 months?"

      ◆ Claim · grounded 3/4
      Best-grounded source [1] (RAG): Defends the wedge: NodeAgent retrieval latency p95 211ms versus Acme 540ms on the shared eval set; grounded answer rate 0.93 across 103 queries. Corroborated by [2] finance://burn — runway model; [3] diligence://wedge — competitive note.

      ⌗ room://benchmark — wedge holds vs Acme on latency

      Model updated to v2 (2 cells).

      Does our wedge hold versus Acme, and does the runway model survive 18 months?

      On it — pulling the room context, then searching, updating the model, and writing the memo.

      Gather room context3 items · 2 active
      0.20documentI pushed the retrieval-latency benchmark doc to the room earlier.
      0.19messageAcme just dropped a competing teardown of our wedge. Investor call is in 40.
      0.03messageFinance flagged burn crept to 420k/mo after the two senior hires.
      Search & synthesizefailed

      This response failed. Earlier results are kept.

      Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

    NodeAgenton assistant-ui

    Ask the room

    NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

    Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Prototype ↗GitHub ↗

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.

NodeAgenton assistant-ui

Ask the room

NodeAgent gathers the relevant context, finds the right document for the right answer, updates the model as a versioned delta, and writes the cited memo — and you watch each step render inline.

Deterministic demo — no keys. The agent runs the real ported modules over a fixed scenario.