{
  "version": "0.1.4",
  "last_updated": "2026-09-22",
  "url": "https://paice.foundation/ontology.json",
  "mission": "Make AI Collaboration measurable, teachable, and governable.",
  "core_thesis": "Create an independent yardstick for human-AI collaboration, with open standards and practical tools. Authority is earned through value.",
  "definitions": {
    "aggregated_intelligence": "The collective output of different intelligences working together toward a clear intent.",
    "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": "The explicit limits that preserve integrity between human authority, machine instructions, services, data, and autonomous action.",
    "collaboration_compounding": "The working hypothesis that clearer intent, earned trust and shared learning can make contributions more useful and improve subsequent collaboration."
  },
  "vectors": [
    {
      "id": "people",
      "name": "People",
      "primary_component": "paice-work",
      "purpose": "Assess human-side skill in human-AI collaboration."
    },
    {
      "id": "infrastructure",
      "name": "Infrastructure",
      "primary_component": "siteline",
      "purpose": "Measure whether public systems remain usable and trustworthy for agents acting on behalf of humans."
    },
    {
      "id": "regulation",
      "name": "Regulation",
      "primary_component": "every-ai-law",
      "purpose": "Connect legal obligations and public records with inspectable source evidence."
    },
    {
      "id": "combined_posture",
      "name": "Combined Posture",
      "primary_component": "ai-posture",
      "purpose": "Offer a supporting mental model for aggregated intelligence, without implying a validated combined score."
    }
  ],
  "layers": [
    {
      "id": "measurement",
      "name": "Measurement layer",
      "description": "Measurement of human-AI collaboration and the agentic web, alongside a supporting conceptual framework.",
      "components": [
        "paice-work",
        "siteline",
        "ai-posture"
      ]
    },
    {
      "id": "legal_graph",
      "name": "Legal graph",
      "description": "One connected representation of statutes, interpretations, incidents, and the shared schema underneath.",
      "components": [
        "every-ai-law",
        "obligation-first",
        "publedge",
        "ai-incident-law"
      ]
    },
    {
      "id": "agent_standards",
      "name": "Agent standards",
      "description": "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.",
      "components": [
        "graceful-boundaries",
        "skill-provenance",
        "guidecheck",
        "turnfile",
        "aidr",
        "knowledge-as-code"
      ]
    }
  ],
  "components": [
    {
      "id": "paice-work",
      "name": "PAICE.work",
      "url": "https://paice.work/",
      "repo": "PAICE2",
      "category": "paid_reference_implementation",
      "vector": "people",
      "layer": "measurement",
      "role": "A snapshot of human-AI collaboration skill on the human end.",
      "presentation": {
        "summary": "A snapshot of human-AI collaboration skill on the human end.",
        "audience": "People learning, teaching or assessing how they work with AI.",
        "image": "/imgs/projects/paice.jpg"
      }
    },
    {
      "id": "siteline",
      "name": "Siteline",
      "url": "https://siteline.to/",
      "repo": "siteline",
      "category": "paid_reference_implementation",
      "vector": "infrastructure",
      "layer": "measurement",
      "role": "Making the agentic web scoreable, one website at a time.",
      "presentation": {
        "summary": "Making the agentic web scoreable, one website at a time.",
        "audience": "People responsible for websites that AI agents use on someone's behalf.",
        "image": "/imgs/projects/siteline.png"
      }
    },
    {
      "id": "every-ai-law",
      "name": "Every AI Law",
      "url": "https://everyailaw.com/",
      "repo": "every-ai-law",
      "category": "paid_reference_implementation",
      "vector": "regulation",
      "layer": "legal_graph",
      "role": "Structured references to AI-related obligations and their sources, connected through the Legal Graph.",
      "presentation": {
        "summary": "Structured references to AI-related obligations and their sources, connected through the Legal Graph.",
        "audience": "People researching AI obligations and the evidence behind them.",
        "image": "/imgs/projects/every-ai-law.png"
      }
    },
    {
      "id": "graceful-boundaries",
      "name": "Graceful Boundaries",
      "url": "https://gracefulboundaries.dev/",
      "repo": "graceful-boundaries",
      "category": "open_pattern_or_spec",
      "vector": "agent_communication",
      "layer": "agent_standards",
      "role": "Discoverable limits, understandable refusals and useful next steps for humans and agents. An enabling standard for Siteline.",
      "presentation": {
        "summary": "Discoverable limits, understandable refusals and useful next steps for humans and agents. An enabling standard for Siteline.",
        "audience": "Services and agent builders that need to communicate operational boundaries.",
        "image": "/imgs/projects/graceful-boundaries.png"
      }
    },
    {
      "id": "skill-provenance",
      "name": "Skill Provenance",
      "url": "https://skillprovenance.dev/",
      "repo": "skill-provenance",
      "category": "open_pattern_or_spec",
      "vector": "agent_skills",
      "layer": "agent_standards",
      "role": "Portable identity, integrity and version history that help make work with agent skills governable.",
      "presentation": {
        "summary": "Portable identity, integrity and version history that help make work with agent skills governable.",
        "audience": "People authoring, distributing or using skills across different systems.",
        "image": "/imgs/projects/skill-provenance.png"
      }
    },
    {
      "id": "turnfile",
      "name": "Turnfile",
      "url": "https://turnfile.work/",
      "repo": "turnfile",
      "category": "open_pattern_or_spec",
      "vector": "agent_coordination",
      "layer": "agent_standards",
      "role": "Session-scale coordination with recorded positions, preserved disagreement and human resolution.",
      "presentation": {
        "summary": "Session-scale coordination with recorded positions, preserved disagreement and human resolution.",
        "audience": "People coordinating consequential work across agents and sessions.",
        "image": "/imgs/projects/turnfile.png"
      }
    },
    {
      "id": "aidr",
      "name": "AIDR",
      "url": "https://aidr.work/",
      "repo": "aidr",
      "category": "open_pattern_or_spec",
      "vector": "agent_coordination",
      "layer": "agent_standards",
      "role": "One portable decision record for the question, positions, objections and human decision.",
      "presentation": {
        "summary": "One portable decision record for the question, positions, objections and human decision.",
        "audience": "People who need to inspect how an AI-assisted decision was reached.",
        "image": "/imgs/projects/aidr.png"
      }
    },
    {
      "id": "knowledge-as-code",
      "name": "Knowledge-as-Code",
      "url": "https://knowledge-as-code.com/",
      "repo": "knowledge-as-code-template",
      "category": "open_pattern_or_spec",
      "vector": "knowledge_infrastructure",
      "layer": "agent_standards",
      "role": "Open infrastructure for simple human and machine legibility of structured knowledge.",
      "presentation": {
        "summary": "Open infrastructure for simple human and machine legibility of structured knowledge.",
        "audience": "People maintaining knowledge that both humans and agents need to read.",
        "image": "/imgs/projects/knowledge-as-code.png"
      }
    },
    {
      "id": "ai-posture",
      "name": "AI Posture",
      "url": "https://aiposture.org/",
      "repo": "ai-posture",
      "category": "open_pattern_or_spec",
      "vector": "combined_posture",
      "layer": "measurement",
      "role": "Aggregated Intelligence Posture: a supporting framework for understanding and communicating aggregated intelligence. Practical applications remain to be developed.",
      "presentation": {
        "summary": "Aggregated Intelligence Posture: a supporting framework for understanding and communicating aggregated intelligence. Practical applications remain to be developed.",
        "audience": "People seeking a mental model for understanding aggregated intelligence.",
        "image": "/imgs/projects/ai-posture-icon.svg"
      }
    },
    {
      "id": "publedge",
      "name": "PubLedge",
      "url": "https://publedge.org/",
      "repo": "publedge",
      "category": "open_pattern_or_spec",
      "vector": "regulation",
      "layer": "legal_graph",
      "role": "Open recordkeeping conventions for fact-specific interpretations and administrative issuance records.",
      "presentation": {
        "summary": "Open recordkeeping conventions for fact-specific interpretations and administrative issuance records.",
        "audience": "People who issue or rely on civic and regulatory publication records.",
        "image": "/imgs/projects/publedge.png"
      }
    },
    {
      "id": "ai-incident-law",
      "name": "AI Incident Law",
      "url": "https://aiincidentlaw.org/",
      "repo": "ai-incident-law",
      "category": "open_pattern_or_spec",
      "vector": "regulation",
      "layer": "legal_graph",
      "role": "Public-record legal and regulatory matters involving AI, with allegations and outcomes kept distinct.",
      "presentation": {
        "summary": "Public-record legal and regulatory matters involving AI, with allegations and outcomes kept distinct.",
        "audience": "People investigating AI-related matters and their legal evidence.",
        "image": "/imgs/projects/ai-incident-law.png"
      }
    },
    {
      "id": "obligation-first",
      "name": "Obligation First",
      "url": "https://obligationfirst.org/",
      "repo": "obligation-first",
      "category": "open_pattern_or_spec",
      "vector": "regulation",
      "layer": "legal_graph",
      "role": "The shared vocabulary and validation contract connecting the Legal Graph while preserving each source's meaning.",
      "presentation": {
        "summary": "The shared vocabulary and validation contract connecting the Legal Graph while preserving each source's meaning.",
        "audience": "People building interoperable legal-information systems.",
        "image": "/imgs/projects/obligation-first.png"
      }
    },
    {
      "id": "guidecheck",
      "name": "GuideCheck",
      "url": "https://guidecheck.org/",
      "repo": "guidecheck",
      "category": "open_pattern_or_spec",
      "vector": "agent_standards",
      "layer": "agent_standards",
      "role": "Human-reviewable installation instructions, designed to make delegated software installation inspectable. Conformance does not guarantee safety.",
      "presentation": {
        "summary": "Human-reviewable installation instructions, designed to make delegated software installation inspectable. Conformance does not guarantee safety.",
        "audience": "People asking agents to install software, and the publishers supplying instructions.",
        "image": "/imgs/projects/guidecheck.png"
      }
    }
  ],
  "relationships": [
    {
      "id": "people_to_paice",
      "from": "people",
      "to": "paice-work",
      "relationship": "measured_by"
    },
    {
      "id": "infrastructure_to_siteline",
      "from": "infrastructure",
      "to": "siteline",
      "relationship": "measured_by"
    },
    {
      "id": "regulation_to_every_ai_law",
      "from": "regulation",
      "to": "every-ai-law",
      "relationship": "served_by"
    },
    {
      "id": "combined_posture_to_ai_posture",
      "from": "combined_posture",
      "to": "ai-posture",
      "relationship": "framed_by"
    },
    {
      "id": "legal_graph_schema",
      "from": "obligation-first",
      "to": [
        "every-ai-law",
        "publedge",
        "ai-incident-law"
      ],
      "relationship": "normalizes"
    },
    {
      "id": "agent_instruction_trust",
      "from": "guidecheck",
      "to": [
        "graceful-boundaries",
        "skill-provenance",
        "turnfile"
      ],
      "relationship": "complements"
    },
    {
      "id": "aidr_distills_turnfile",
      "from": "aidr",
      "to": "turnfile",
      "relationship": "distills"
    },
    {
      "id": "boundaries_enable_siteline",
      "from": "graceful-boundaries",
      "to": "siteline",
      "relationship": "enables"
    }
  ],
  "machine_resources": [
    {
      "name": "Agent onboarding",
      "url": "https://paice.foundation/agents/",
      "format": "html"
    },
    {
      "name": "Short machine index",
      "url": "https://paice.foundation/llms.txt",
      "format": "text/markdown"
    },
    {
      "name": "Full machine index",
      "url": "https://paice.foundation/llms-full.txt",
      "format": "text/markdown"
    },
    {
      "name": "Ontology",
      "url": "https://paice.foundation/ontology.json",
      "format": "application/json"
    },
    {
      "name": "Relationship graph",
      "url": "https://paice.foundation/relationships.yaml",
      "format": "text/yaml"
    },
    {
      "name": "GuideCheck assistant guide",
      "url": "https://paice.foundation/.well-known/assistant-guide.txt",
      "format": "text/plain"
    },
    {
      "name": "Agent capability manifest",
      "url": "https://paice.foundation/.well-known/agents.json",
      "format": "application/json"
    },
    {
      "name": "Static resource catalog",
      "url": "https://paice.foundation/api/v1/index.json",
      "format": "application/json"
    },
    {
      "name": "Portfolio change feed",
      "url": "https://paice.foundation/feed/index.xml",
      "format": "application/rss+xml"
    },
    {
      "name": "Security contact",
      "url": "https://paice.foundation/.well-known/security.txt",
      "format": "text/plain"
    }
  ],
  "self_conformance": [
    {
      "standard": "GuideCheck",
      "component_id": "guidecheck",
      "status": "conformant",
      "level": "3",
      "claim": "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.",
      "caveat": "GuideCheck conformance verifies guide shape, not content safety."
    },
    {
      "standard": "Siteline",
      "component_id": "siteline",
      "status": "tracked",
      "claim": "This site is maintained against the Siteline agent-usability rubric.",
      "caveat": "Do not cite a public grade unless a current scan verifies it."
    },
    {
      "standard": "Graceful Boundaries",
      "component_id": "graceful-boundaries",
      "status": "not_applicable",
      "claim": "This static portfolio surface has no rate-limited service endpoint.",
      "caveat": "Siteline is the portfolio's Level 4 Graceful Boundaries reference implementation."
    }
  ],
  "semantic_boundaries": [
    "Not a vendor-owned AI governance wrapper.",
    "Not a generic AI education or productivity portfolio.",
    "Not a venture studio of unrelated products.",
    "Not employee surveillance.",
    "Not a claim that conformance artifacts prove safety."
  ],
  "support": {
    "contact": "mailto:hello@paice.work",
    "page": "https://paice.foundation/#support",
    "paths": [
      "Mission-aligned funding",
      "Research and collaboration",
      "A real workflow or pilot"
    ],
    "boundary": "A conversation, not an investment offer or a commitment to a pilot."
  },
  "work_areas": [
    {
      "id": "human-collaboration",
      "name": "Human collaboration",
      "url": "https://paice.foundation/work/human-collaboration/",
      "components": [
        "paice-work",
        "ai-posture"
      ]
    },
    {
      "id": "agentic-web",
      "name": "The agentic web",
      "url": "https://paice.foundation/work/agentic-web/",
      "components": [
        "siteline",
        "graceful-boundaries",
        "knowledge-as-code"
      ]
    },
    {
      "id": "legal-graph",
      "name": "Legal Graph",
      "url": "https://paice.foundation/work/legal-graph/",
      "components": [
        "every-ai-law",
        "publedge",
        "ai-incident-law",
        "obligation-first"
      ]
    },
    {
      "id": "inspectable-collaboration",
      "name": "Inspectable collaboration",
      "url": "https://paice.foundation/work/inspectable-collaboration/",
      "components": [
        "aidr",
        "turnfile",
        "guidecheck",
        "skill-provenance",
        "graceful-boundaries",
        "knowledge-as-code"
      ]
    }
  ],
  "archived_experiments": [
    {
      "id": "tokenese",
      "name": "Tokenese",
      "status": "archived",
      "url": "https://tokenese.org/",
      "closing_record": "https://tokenese.org/post-mortem.html",
      "summary": "Tokenese is an archived experiment. Its flagship compression claim failed measurement; the broader combined benefit remained unvalidated. Investment stopped, and the post-mortem was later corrected to avoid overstating the result."
    }
  ]
}