AltmanAI Masterplan

The public execution map for AltmanAI.

Humanity leads. Intelligence follows.

AltmanAI, by Altman Family Group LLC, is a Pittsburgh-based human-first AI research and development company building practical AI products and the proof infrastructure behind them. This repository explains what we are building, what is working now, what is still in development, and how the public repositories connect.

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Start Here

You are a...	Start with
Developer evaluating AltmanAI tooling	altmanai-sdk — schemas, receipt generation, artifact verification, event hooks, and Python/TypeScript foundations
Builder studying human-first AI architecture	human-first-ai — runnable P.A.I.H.I. reference implementation with tests and human checkpoints
Partner or investor evaluating execution	altmanai-master-ledger — public milestones, receipts, and registry records
Press or community member learning about the company	altmanai-public-hub — company positioning, mission, and public context
User exploring AltmanAI products	AltmanAI.tech — products, services, and current public experiences
Contributor reviewing organization standards	.github — governance, issue templates, contribution rules, and account-wide audit material

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What AltmanAI Is Building

AltmanAI is developing a practical human-first AI product line backed by inspectable technical and governance infrastructure.

Core framework: P.A.I.H.I. — Proof, Alignment, Integrity, Humanity, Impact.

P.A.I.H.I. is expressed across three distinct public layers:

1. Framework and governance — paihi-framework
2. Working reference architecture — human-first-ai
3. Developer integration tooling — altmanai-sdk

This separation is intentional: the framework defines the standard, the reference implementation demonstrates it in code, and the SDK provides reusable integration primitives.

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Operating Model

Build. Measure. Prove. Scale.

1. Build — create useful products and working technical systems.
2. Measure — capture meaningful actions, decisions, and outcomes in structured records.
3. Prove — verify artifacts with hashes, schemas, manifests, tests, and human review.
4. Scale — turn proven patterns into reusable infrastructure, products, partnerships, and public documentation.

AltmanAI does not treat a roadmap claim as equivalent to shipped functionality. Repositories should clearly identify whether they are working, reference, foundation, experimental, historical, or planned.

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Active Portfolio Map

Repository	Role	Current positioning
.github	Organization profile, governance, templates, and audit records	Active governance layer
altmanai-masterplan	Public execution map and repository router	Active
paihi-framework	Canonical P.A.I.H.I. definitions, governance, and implementation guidance	Active development
human-first-ai	Runnable P.A.I.H.I. reference architecture and scoring implementation	Working reference implementation
altmanai-sdk	Cross-language developer toolkit for receipts, verification, schemas, and events	Initial public foundation
DailyPilot-Engine	Explainable prioritization engine for DailyPilot	Working reference implementation; production integration in progress
releaseshield-by-altmanai	Human-reviewed release integrity and proof-reporting system	v0.1 product development
AltmanAI-Impact-Explorer	Public viewer for proof and registry artifacts	Early full-stack implementation
altmanai-master-ledger	Public index of milestones, receipts, registry records, and proof artifacts	Active proof layer
canon-charter-v1	Minted, versioned governance charter with manifest and verification tooling	Frozen canonical artifact
altmanai-alt-seal	Trust-mark policy, assets, hashes, and local browser verifier	Governance and verification asset
docs	DailyPilot documentation source	Active documentation
altmanai-public-hub	Public company and ecosystem introduction	Active public entry point

Historical or consolidated work

• PAIHI-Portables is archived and consolidated into altmanai-sdk.
• Older sovereign, agent, or operating-system concepts should be treated as historical R&D unless a repository contains current working code, tests, documentation, and a maintained release path.

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Current Priorities

1. Consolidate P.A.I.H.I.

Establish one coherent standard across the framework, reference implementation, SDK, products, and proof ledger without duplicating terminology or functionality.

2. Productize ReleaseShield

Move ReleaseShield from a strong concept into a tested CLI and GitHub Action with fixtures, deterministic reports, human authorization, and proof output.

3. Strengthen release engineering

For core code repositories, standardize:

• automated tests
• CI on pull requests
• dependency and secret scanning
• explicit licenses
• semantic versioning
• changelogs and release notes
• reproducible examples

4. Improve the public GitHub funnel

Every core repository should clearly answer:

• What is this?
• Does it work now?
• How do I run or verify it?
• How does it connect to AltmanAI?
• What is planned next?

5. Build from Pittsburgh with measurable value

AltmanAI’s goal is to become a credible human-first AI company from Pittsburgh by showing working systems, responsible engineering, useful products, transparent limitations, and proof of execution.

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Governance

Minted and canonical artifacts are not casually rewritten. Improvements to frozen artifacts should use a versioned addendum, amendment, RFC, or successor release.

Public claims must remain proportional to available evidence. Ambitious vision is welcome; shipped functionality, tests, verification, and documented limitations must remain distinguishable from future plans.

Major identity, governance, or canonical changes require explicit founder authorization before merge.

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Company

AltmanAI by Altman Family Group LLC
Founder & CEO: Blake Hunter Altman
Location: Pittsburgh, Pennsylvania
Website: www.altmanai.tech

Humanity leads. Intelligence follows.