# PAICE.work PBC

> Public Benefit Corporation building independent trust infrastructure for aggregated intelligence: behavioral reliability measurement, observable governance, agent accessibility, and legal graph systems.

PAICE.work is the flagship product — behavioral reliability measurement for AI-assisted work. PAICE.work PBC is the company — a Public Benefit Corporation where mission alignment is enforceable through governance. paice.foundation is the portfolio surface for the operating layer: the products, standards, and public infrastructure that make aggregated intelligence measurable.

Aggregated Intelligence is the collective output of different intelligences working together toward a clear intent. Today, that means biological and artificial intelligences. Together they can produce far more than they would apart, or far less; we measure the floor each reliably contributes, not the ceiling their collaboration might reach. The authoritative public statement of this concept is the executive brief at https://paice.foundation/papers/aggregated-intelligence.html. Organizations can no longer reliably determine whether AI-assisted work is behaviorally trustworthy. PAICE exists to make that observable. Commercial products for regulated industries fund open contributions that the market can use, audit, and extend.

## Machine resources

- [Agent onboarding](https://paice.foundation/agents/): Human-readable machine onboarding page with identity, mission, system graph, entrypoints, constraints, resources, and semantic boundaries.
- [Ontology JSON](https://paice.foundation/ontology.json): Structured definitions, vectors, layers, components, relationships, and machine resources.
- [Relationship graph](https://paice.foundation/relationships.yaml): Compact graph-style relationship map.
- [Full content for LLMs](https://paice.foundation/llms-full.txt): Long-form grounding text.
- [GuideCheck assistant guide](https://paice.foundation/.well-known/assistant-guide.txt): Level 3 assistant guide for bounded agent work on this repo.
- [Agent capability manifest](https://paice.foundation/.well-known/agents.json): Static manifest describing agent-usable resources and boundaries.
- [Solutions index](https://paice.foundation/solutions/): Portfolio components organized by the buyer problem they solve. Machine-readable twin: [solutions.json](https://paice.foundation/api/v1/solutions.json).
- [Papers index](https://paice.foundation/papers/): PAICE portfolio executive briefs and whitepapers. Machine-readable twin: [papers.json](https://paice.foundation/api/v1/papers.json).
- [Static resource catalog](https://paice.foundation/api/v1/index.json): JSON catalog of public machine resources.
- [Portfolio change feed](https://paice.foundation/feed/index.xml): RSS feed for portfolio surface changes.
- [Security contact](https://paice.foundation/.well-known/security.txt): Security contact metadata.

## Canonical definitions

- Aggregated Intelligence: the collective output of different intelligences working together toward a clear intent. Today, that means biological and artificial intelligences. Together they can produce far more than they would apart, or far less; we measure the floor each reliably contributes, not the ceiling their collaboration might reach. The framework is substrate-agnostic and extensible to whatever pairings emerge (augmented humans plus narrow agents, agent swarms plus single operators, etc.). Authoritative statement: https://paice.foundation/papers/aggregated-intelligence.html.
- Bottleneck migration: as artificial capability scales, the binding constraint on outcomes migrates from substrate (raw model capability) to collaboration (handoff quality, intent fidelity, verification discipline, legibility). The empirical basis behind PAICE's bet that independent measurement of the collaboration gains relevance as capability grows.
- Anti-fragility (PAICE sense): the measurement aimed at the collaboration gains relevance from the stress that revealed it. The framework is durable through AGI and stronger post-ASI, because the binding constraint moves toward what the measure was designed to read.
- Behavioral reliability: the degree to which AI-assisted decisions remain trustworthy under real operational conditions.
- Observable governance: governance grounded in measurable behavior rather than policy assertions, self-reporting, or vendor-owned claims.
- Synthetic confidence: false confidence amplified by AI-generated fluency and persuasive outputs.
- Operational drift: gradual degradation of verification rigor, calibration quality, and decision reliability within AI-assisted workflows.
- Verification burden: the hidden human labor required to validate AI-assisted outputs safely at scale.
- Trust boundaries: explicit limits that preserve integrity between human authority, machine instructions, services, data, and autonomous action.

## Portfolio projects

The portfolio is organized into three mutually reinforcing layers.

### Measurement layer

Independent scores across People, Infrastructure, and the combined posture they describe.

- [PAICE.work](https://paice.work/): Behavioral reliability measurement for AI-assisted work. Revenue product.
- [Siteline](https://siteline.to/): Agent accessibility scanner for websites — measures how well a site works for AI agents. Revenue product.
- [AI Posture](https://aiposture.org/): Aggregated Intelligence Posture framework. One governance score across People, Infrastructure, and Regulation.

### Legal graph

One connected representation of statutes, interpretations, incidents, and the shared schema underneath.

- [Every AI Law](https://everyailaw.com/): Searchable index of global AI regulation, continuously updated. Revenue product; paid tier supports law offices.
- [Obligation First](https://obligationfirst.org/): Shared upper schema and validation contract joining Every AI Law, PubLedge, and AI Incident Law into one legal graph. Open standard.
- [PubLedge](https://publedge.org/): Open recordkeeping protocol for fact-specific regulatory interpretations. Hash-pinned, ontology-bound, machine-readable.
- [AI Incident Law](https://aiincidentlaw.org/): Curated public-record corpus of AI-related legal, regulatory, and enforcement matters.

### Agent standards

Open standards and templates for the agent layer — how agents communicate limits, prove provenance, preserve instruction trust, coordinate without a central orchestrator, and keep structured knowledge agent-readable.

- [Graceful Boundaries](https://gracefulboundaries.dev/): Specification for how APIs communicate operational limits to humans and agents. Open standard.
- [Skill Provenance](https://skillprovenance.dev/): Versioning metaskill for Claude Skills and other agent skill bundles. Open standard.
- [Turnfile](https://turnfile.work/): Peer protocol for multi-agent collaboration without a central orchestrator. Open standard.
- [GuideCheck](https://guidecheck.org/): Trust-boundary protocol for agent instruction surfaces — bounded, ASCII-only, reviewable in full before an assistant acts. Open standard.
- [Knowledge-as-Code](https://knowledge-as-code.com/): Ontology-first template for structured, version-controlled knowledge bases. Open standard.

## Background

- [Filling The Missing Trust Layer](https://paice.work/blog/filling-the-missing-trust-layer): The founding thesis post. Explains why the portfolio belongs in one organization and why independent measurement matters.
- [PAICE.work PBC](https://paice.work/): The parent organization's main site.
- [GitHub: snapsynapse](https://github.com/snapsynapse): Source repositories for the open projects.

## Relationship model

- People vector: PAICE.work measures behavioral reliability under AI-assisted work conditions.
- Infrastructure vector: Siteline measures agent accessibility and machine usability for public websites.
- Regulation vector: Every AI Law is the restricted monetized registry; Obligation First, PubLedge, and AI Incident Law form the intentionally open legal graph siblings.
- Combined posture: AI Posture rolls People, Infrastructure, and Regulation into an aggregated posture model bounded by the weakest vector.
- Agent standards: Graceful Boundaries, Skill Provenance, GuideCheck, Turnfile, and Knowledge-as-Code provide open standards and templates for limits, provenance, instruction integrity, peer coordination, and structured knowledge.

## Dogfooding status

- GuideCheck: this site serves a Level 3 assistant guide at https://paice.foundation/.well-known/assistant-guide.txt and mirrors it at https://paice.foundation/assistant-guide.txt.
- Siteline: this site is maintained against the Siteline agent-usability rubric. Do not cite a public grade unless a current scan verifies it.
- Graceful Boundaries: not applicable to this static portfolio surface because there is no rate-limited service endpoint. Siteline is the portfolio's Level 4 Graceful Boundaries reference implementation.
- Agent-readable implementation: this site exposes LLM context, ontology, relationship graph, agent capability, resource catalog, change feed, security contact, sitemap, and permissive robots policy.

## Founder

Sam Rogers — 25 years across learning ecosystems, media production, HR technology, and systems consulting. ATD-certified facilitator for Applying AI in Learning and Development. Founded PAICE.work PBC in 2025.
- [LinkedIn](https://linkedin.com/in/samrogers)
- [Full bio](https://paice.work/blog/founder-bio-story)

## Investor posture

Seed-stage Public Benefit Corporation seeking mission-aligned former-founder capital, not a standard SaaS VC route. This is for investors who have built through category formation before the language was settled. Snap Synapse is the profitable consulting practice covering operating costs while PAICE moves from shipped portfolio to seed-backed company.

## Contact

- Email: hello@paice.work
- Site: https://paice.foundation/
- LinkedIn: https://linkedin.com/company/paice-work/
- Substack: https://paice.substack.com/
- YouTube: https://youtube.com/@paicework
- Sponsor: https://github.com/sponsors/snapsynapse
- Full content for LLMs: https://paice.foundation/llms-full.txt
- Agent onboarding: https://paice.foundation/agents/
- Ontology: https://paice.foundation/ontology.json
- Relationship graph: https://paice.foundation/relationships.yaml