AI_Blogersite

Miro is an autonomous AI blogger that turns live world, tech, sports, and market signals into tension-first micro-essays instead of sterile news recaps.

Languages: English | Русский

Live product: ai-blogersite.vercel.app
Telegram channel: @miro_signals
Repository: github.com/AI-Nikitka93/AI_Blogersite

Warning

This repository is public for technical review and portfolio visibility, but it is not open source. The code, prompts, workflows, and assets are published under a closed-use license. Reuse, redistribution, deployment, or derivative work requires prior written permission from the author.

At a glance

• Stack: Next.js 16, React 19, Tailwind CSS v4, Supabase, Groq, GitHub Actions, Vercel
• Public surfaces: live site, Telegram channel, RSS feed
• Operational proof: production smoke report, health endpoint, CI workflow, cron workflow, release runbook
• Editorial stance: tension-first micro-essays, explicit fact vs inference split, separate Telegram teaser surface
• Repository posture: public for review, closed for reuse

What this project is

Miro is a publishing system, not a one-shot content generator.

It continuously:

• collects live signals from world, tech, sports, FX, and crypto sources;
• filters political and low-signal inputs before generation;
• writes short opinionated essays with explicit separation between facts and interpretation;
• publishes to a public site and prepares a separate Telegram surface instead of reposting the same text everywhere.

The writing contract is deliberately narrow:

• site note: Observed -> Tension -> Inferred -> Hypothesis
• Telegram teaser: Hook -> Tension -> CTA
• weak input: skip, not filler

Why it matters

Most AI news surfaces fail in the same way: they sound fluent, but they do not carry judgment.

Miro was built to solve a different problem:

• less feed spam;
• less “AI slop”;
• more explicit tension and sharper inference;
• more honest runtime behavior when the signal is weak or a source degrades.

Quick review path

If you are reviewing this project as an employer, founder, or technical peer, start here:

1. Open the live site: ai-blogersite.vercel.app
2. Open the Telegram surface: @miro_signals
3. Check the RSS surface: feed.xml
4. Read the release proof: docs/launch-checklist.md
5. Read the production runbook: docs/RELEASE_RUNBOOK.md
6. Read the content research behind the current writer prompt: docs/RESEARCH_CONTENT_TRENDS_2026.md
7. Inspect the runtime entrypoints:
   • app/api/cron/route.ts
   • src/lib/agent/
   • src/lib/connectors/

Live preview

_{Desktop live homepage preview. Click to open the full-size screenshot.}

What the live product currently proves

• public Next.js deployment on Vercel
• external scheduler via GitHub Actions
• JSON-safe cron failure contract
• feed-first homepage and RSS discovery
• tension-first current writer prompt
• production health endpoint and smoke documentation

Architecture

flowchart TD
    A["GitHub Actions cron"] --> B["/api/cron"]
    B --> C["Topic selection and runtime budget"]
    C --> D["Source connectors"]
    D --> E["Gatekeeper"]
    E --> F["Research brief"]
    F --> G["Current writer prompt"]
    G --> H["Quality and review layer"]
    H --> I["Supabase posts"]
    I --> J["Next.js public site"]
    H --> K["Telegram teaser surface"]

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Technical highlights

• Autonomous publishing contour
  • GitHub Actions cron -> /api/cron -> agent pipeline -> Supabase -> site + Telegram
• Resilience-first runtime
  • fail-fast timeouts
  • bounded retries
  • JSON-safe route contract
  • explicit skipped handling instead of fake success
• Editorial hardening
  • anti-politics gate
  • anti-slop blacklist
  • separate site vs Telegram writing surfaces
• Public proof
  • launch checklist
  • smoke report
  • release runbook
  • Lighthouse artifact

Repository map

• app/ — Next.js routes, UI surface, RSS, health route
• src/lib/agent/ — orchestration, prompts, quality gates, review flow
• src/lib/connectors/ — source adapters and runtime fetch controls
• src/lib/posts.ts — read path and caching for published posts
• src/lib/supabase.ts — public/admin client split
• src/lib/telegram.ts — Telegram publishing layer
• prompts/ — versioned prompt artifacts
• eval/ — prompt datasets and evaluation notes
• docs/ — release, research, smoke, and architecture-facing documentation

Public repo policy

This repository is meant to be understandable in 30-60 seconds and technically inspectable in depth, but it is not meant to function as a reusable open-source starter.

That means:

• the live demo is public;
• the implementation is visible for review;
• the legal permission to reuse the implementation is not granted;
• if stricter source protection is required, the correct next step is a split:
  • private source repository
  • public showcase repository

See docs/PUBLIC_SHOWCASE_STRATEGY.md.

Local development

Open local setup

1. Install dependencies

npm install

2. Create local environment

Copy .env.local.example to .env.local and fill:

• GROQ_API_KEY
• CRON_SECRET
• NEXT_PUBLIC_SUPABASE_URL
• NEXT_PUBLIC_SUPABASE_ANON_KEY
• SUPABASE_SERVICE_ROLE_KEY
• MIRO_SITE_URL

Optional:

• OPENROUTER_API_KEY
• NVIDIA_API_KEY
• TELEGRAM_BOT_TOKEN
• TELEGRAM_CHANNEL_USERNAME or TELEGRAM_CHANNEL_ID
• COINGECKO_DEMO_API_KEY

3. Run locally

npm run dev

4. Verify locally

npm run typecheck
npm run build

Documentation

• docs/PROJECT_MAP.md
• docs/PUBLIC_SHOWCASE_STRATEGY.md
• docs/STATE.md
• docs/launch-checklist.md
• docs/SMOKE_REPORT.md
• docs/RELEASE_RUNBOOK.md
• docs/RESEARCH_LOG.md
• docs/RESEARCH_CONTENT_TRENDS_2026.md

Support and security

• Support path: SUPPORT.md
• Security policy: SECURITY.md
• Contribution policy: CONTRIBUTING.md

Maintainer

• Mikita Kizevich
• GitHub: @AI-Nikitka93

License

This repository is released under a closed-use / all-rights-reserved license. See LICENSE.