{
  "schema_version": "1.0",
  "organization": {
    "name": "PAICE.work",
    "legal_name": "PAICE.work PBC",
    "url": "https://paice.work",
    "description": "PAICE (People + AI Collaboration Effectiveness) is a behavioral assessment measuring how individuals and teams collaborate with AI — not what they know about AI, but how they actually behave.",
    "positioning": "Behavioral ground truth over self-report. The only assessment that injects real errors and scores whether users catch them.",
    "founded": "2025",
    "location": "Utah, USA (remote-first)",
    "leader": {
      "name": "Sam Rogers",
      "role": "Founder & CEO",
      "linkedin": "https://www.linkedin.com/in/samrogers/"
    },
    "sibling_organization": {
      "name": "Snap Synapse LLC",
      "url": "https://snapsynapse.com"
    }
  },
  "product": {
    "id": "paice-assessment",
    "name": "PAICE Assessment",
    "type": "WebApplication",
    "description": "Adaptive behavioral simulator that measures human-AI collaboration effectiveness. 25-minute assessment produces a 0-1000 score across five dimensions with personalized insights.",
    "url": "https://paice.work/individual",
    "cost": {
      "individual": "free",
      "team_and_enterprise": "contact for pricing"
    },
    "duration": "~25 minutes",
    "methodology": "Behavioral observation via adaptive conversation with injected tests (deliberate errors). Catches and misses are behavioral ground truth. Scores behavior, not conversational fluency.",
    "dimensions": [
      {
        "id": "accountability",
        "name": "Accountability",
        "weight": 0.30,
        "description": "Error detection, output verification, and personal responsibility for AI-assisted decisions. Highest weight — most critical and most underdeveloped skill in practice."
      },
      {
        "id": "integrity",
        "name": "Integrity",
        "weight": 0.25,
        "description": "Logical consistency, fact-grounding, and resistance to AI overconfidence."
      },
      {
        "id": "collaboration",
        "name": "Collaboration",
        "weight": 0.20,
        "description": "Iterative refinement, productive working patterns, and effective use of AI as a partner."
      },
      {
        "id": "evolution",
        "name": "Evolution",
        "weight": 0.15,
        "description": "Meta-awareness and adaptive learning during the assessment session."
      },
      {
        "id": "performance",
        "name": "Performance",
        "weight": 0.10,
        "description": "Communication efficiency and task framing effectiveness."
      }
    ],
    "scoring": {
      "scale": "0-1000",
      "note": "Not a percentage — does not represent % of the way to mastery",
      "tiers": [
        { "name": "Exceptional", "min": 850, "max": 1000 },
        { "name": "Advanced", "min": 700, "max": 849 },
        { "name": "Proficient", "min": 550, "max": 699 },
        { "name": "Informed", "min": 400, "max": 549 },
        { "name": "Constrained", "min": 0, "max": 399 }
      ],
      "evidence_hierarchy": "Test performance (caught/missed injected errors) is behavioral ground truth. Conversational fluency is secondary context."
    }
  },
  "target_users": {
    "primary": [
      "Licensed professionals in regulated industries (lawyers, medical professionals, financial advisors, insurers, cybersecurity professionals)",
      "Individuals who are personally liable for AI-assisted decisions",
      "Professionals building a defensible record of AI collaboration competence"
    ],
    "enterprise_buyers": [
      "L&D leaders measuring AI adoption effectiveness at cohort level",
      "Compliance officers demonstrating AI governance to regulators",
      "HR and talent teams assessing workforce AI readiness"
    ],
    "fit_signals": [
      "Professional uses AI tools and is personally accountable for outputs",
      "Organization needs cohort-level AI readiness data without individual surveillance",
      "Individual wants to understand where their AI collaboration skills actually stand",
      "Regulated industry with AI governance requirements"
    ],
    "not_a_fit": [
      "Looking for AI knowledge quiz or certification exam",
      "Want to measure AI tool proficiency rather than collaboration behavior",
      "Need a chatbot or conversational AI product"
    ]
  },
  "privacy_architecture": {
    "summary": "Privacy by architecture, not policy. Individual scores cannot be disclosed to or reverse-engineered by enterprise buyers.",
    "individual_records": "Not retained in linkable form after delivery to the individual.",
    "enterprise_data": "Cohort-level aggregations only — distributions, percentiles, trend lines — with no individual mapping.",
    "structural_constraint": true,
    "note": "This is a structural constraint, not a policy one. The system is designed to make individual identification from cohort data structurally impossible."
  },
  "pages": [
    {
      "id": "home",
      "name": "Homepage",
      "url": "https://paice.work/",
      "description": "Overview of PAICE assessment, scoring, and access to individual assessment"
    },
    {
      "id": "individual",
      "name": "Individual Assessment",
      "url": "https://paice.work/individual",
      "description": "Start the free 25-minute PAICE assessment"
    },
    {
      "id": "about",
      "name": "About PAICE",
      "url": "https://paice.work/about",
      "description": "Mission, methodology, and team"
    },
    {
      "id": "faq",
      "name": "FAQ",
      "url": "https://paice.work/faq",
      "description": "Frequently asked questions about the assessment, scoring, and privacy"
    },
    {
      "id": "baseline",
      "name": "AI Capability Baseline",
      "url": "https://paice.work/baseline",
      "description": "Organizational cohort assessment program"
    },
    {
      "id": "overview",
      "name": "Overview",
      "url": "https://paice.work/overview",
      "description": "Detailed overview of how PAICE works"
    },
    {
      "id": "security",
      "name": "Security",
      "url": "https://paice.work/security",
      "description": "Security architecture and data handling"
    },
    {
      "id": "blog",
      "name": "Blog",
      "url": "https://paice.work/blog",
      "description": "Articles on human-AI collaboration, assessment methodology, and industry applications"
    },
    {
      "id": "whitepapers",
      "name": "Whitepapers",
      "url": "https://paice.work/whitepapers",
      "description": "Technical and research whitepapers on PAICE methodology"
    }
  ],
  "contact": {
    "general": "success@paice.work",
    "security": "security@paice.work",
    "governance": "governance@paice.work",
    "response_time": "2 US business days"
  },
  "content": {
    "blog_rss": "https://paice.work/blog/feed.xml",
    "blog_sitemap": "https://paice.work/sitemap-blog.xml",
    "newsletter": {
      "name": "Signals and Subtractions",
      "description": "Weekly newsletter on AI collaboration, assessment, and workforce enablement",
      "url": "https://signalsandsubtractions.substack.com/"
    }
  },
  "related": {
    "snap_synapse": {
      "name": "Snap Synapse LLC",
      "url": "https://snapsynapse.com",
      "agents_json": "https://snapsynapse.com/agents.json",
      "description": "L&D consulting and AI rollout support — the consulting practice behind PAICE"
    }
  },
  "meta": {
    "last_updated": "2026-03-18",
    "llms_txt": "https://paice.work/llms.txt",
    "llm_txt": "https://paice.work/llm.txt",
    "sitemap": "https://paice.work/sitemap-index.xml",
    "agents_json_version": "1.0"
  }
}