{ "version": "0.1.0", "generated_at": "2026-05-29", "name": "PAICE solutions index", "url": "https://paice.foundation/solutions/", "description": "PAICE portfolio components organized by the buyer problem they solve. Auto-built from each repo's README schema.", "problems": [ { "problem": "Measure the AI risk you can't currently see", "summary": "Independent scores for how your people, your infrastructure, and your whole organization hold up under AI-assisted work.", "layer": "measurement", "components": [ { "name": "PAICE.work", "url": "https://paice.work/", "repo": "PAICE2", "vector": "people", "category": "paid_reference_implementation", "who_this_is_for": "Regulated organizations where professionals are individually licensed, personally liable, and AI governance isn't optional — GRC, CISO, CAIO, and legal leaders who need evidence of AI behavioral reliability, not training-completion reports.", "what_problem_it_solves": "Organizations are deploying AI faster than they can observe the human risk introduced into AI-enabled workflows. PAICE measures that risk: behavioral reliability under operational pressure, not what people report." }, { "name": "Siteline", "url": "https://siteline.to/", "repo": "siteline", "vector": "infrastructure", "category": "paid_reference_implementation", "who_this_is_for": "Site owners, agencies, and engineering teams whose public sites need to be findable, usable, and recommendable by AI agents — not just human visitors.", "what_problem_it_solves": "AI agents increasingly mediate how people discover and act on the web, but most sites are invisible or unusable to them. Siteline grades how well a site works for agents across two dimensions (SNAP fundamentals and Agentic Enablement) and shows exactly what to fix." }, { "name": "AI Posture", "url": "https://aiposture.org/", "repo": "ai-posture", "vector": "combined_posture", "category": "open_pattern_or_spec", "who_this_is_for": "Governance, risk, and compliance leaders who need one defensible readiness score across people, infrastructure, and regulation — instead of three disconnected tools that never combine into a posture.", "what_problem_it_solves": "Organizations adopt AI across people, infrastructure, and regulation but have no single measure of combined readiness. AI Posture produces one governance score, bounded by the weakest vector, so the gap that actually limits you is visible." } ] }, { "problem": "Track and comply with AI regulation", "summary": "A connected, machine-readable graph of AI laws, obligations, incidents, and the shared schema underneath them.", "layer": "legal_graph", "components": [ { "name": "Every AI Law", "url": "https://everyailaw.com/", "repo": "every-ai-law", "vector": "regulation", "category": "paid_reference_implementation", "who_this_is_for": "- **Compliance teams** determining what applies to their AI systems", "what_problem_it_solves": "AI regulation is changing fast. New laws are introduced, amended, and replaced across dozens of jurisdictions simultaneously. Keeping up is a full-time job — and most organizations don't have someone dedicated to it." }, { "name": "PubLedge", "url": "https://publedge.org/", "repo": "publedge", "vector": "regulation", "category": "open_pattern_or_spec", "who_this_is_for": "Regulators, regulated parties, and civic bodies that issue or rely on fact-specific written interpretations and need them recorded in a portable, queryable form.", "what_problem_it_solves": "Fact-specific interpretations (no-action letters, private rulings, JIAs, HOA decisions) live in scattered, unstructured records that can't be compared across authorities. PubLedge is an open protocol that records them as hash-pinned markdown bound to a shared ontology." }, { "name": "AI Incident Law", "url": "https://aiincidentlaw.org/", "repo": "ai-incident-law", "vector": "regulation", "category": "open_pattern_or_spec", "who_this_is_for": "Compliance teams, legal counsel, AI governance leads, and researchers tracking how AI failures turn into legal and regulatory action.", "what_problem_it_solves": "AI incidents and their legal consequences are scattered across public records with no structured, searchable index. AI Incident Law is an open corpus of public AI-related matters, queryable by humans and agents." }, { "name": "Obligation First", "url": "https://obligationfirst.org/", "repo": "obligation-first", "vector": "regulation", "category": "open_pattern_or_spec", "who_this_is_for": "Anyone modeling laws, cases, or agreements for machines — legal-graph builders, compliance-tool developers, and ontologists who need normative content to be queryable across sources.", "what_problem_it_solves": "Normative content is usually modeled by what it says, not what it requires, so obligations can't be queried consistently across laws, cases, and agreements. Obligation-First is a shared upper schema and JSON-LD context that models normative content by what it requires." } ] }, { "problem": "Build agents and services others can trust", "summary": "Open trust primitives for operational limits, provenance, instruction integrity, safe identifiers, and peer coordination.", "layer": "agent_standards", "components": [ { "name": "Graceful Boundaries", "url": "https://gracefulboundaries.dev/", "repo": "graceful-boundaries", "vector": "agent_communication", "category": "open_pattern_or_spec", "who_this_is_for": "API and service operators, plus the agent builders calling them, who need operational limits expressed in a way autonomous callers can actually act on.", "what_problem_it_solves": "Services signal limits with status codes (429, 403, 500) that agents can't interpret, so agents retry blindly and the waste compounds. Graceful Boundaries is a specification for communicating operational limits to humans and autonomous agents." }, { "name": "HardGuard25", "url": "https://hardguard25.com/", "repo": "hardguard25", "vector": "human_safe_identifiers", "category": "open_pattern_or_spec", "who_this_is_for": "Anyone designing identifiers that humans read, type, print, or say aloud — including dyslexia-sensitive and high-error-cost contexts.", "what_problem_it_solves": "Common identifier alphabets confuse visually similar characters (0/O, 1/l/I), causing misreads when humans handle IDs. HardGuard25 is a 25-character alphabet where every symbol is visually distinct." }, { "name": "Skill Provenance", "url": "https://skillprovenance.dev/", "repo": "skill-provenance", "vector": "agent_skills", "category": "open_pattern_or_spec", "who_this_is_for": "Teams that build, distribute, or run Agent Skills across multiple surfaces and need to know a bundle is the version they trust and hasn't silently drifted.", "what_problem_it_solves": "Agent Skills move across local folders, registries, and platform uploads with no portable way to verify version, integrity, or drift. Skill Provenance makes a bundle's identity and integrity travel with it." }, { "name": "Turnfile", "url": "https://turnfile.work/", "repo": "turnfile", "vector": "agent_coordination", "category": "open_pattern_or_spec", "who_this_is_for": "Teams building multi-agent systems where LLM agents must coordinate as peers — disagreeing, negotiating, and reaching consensus without a central orchestrator.", "what_problem_it_solves": "Multi-agent setups default to a central orchestrator that dictates to subordinate agents, hiding disagreement and decisions. Turnfile is a protocol for peer agents to negotiate and reach auditable consensus with humans on the loop." }, { "name": "GuideCheck", "url": "https://guidecheck.org/", "repo": "guidecheck", "vector": "agent_standards", "category": "open_pattern_or_spec", "who_this_is_for": "- AI governance practitioners who need evidence that guidance was reviewable", "what_problem_it_solves": "AI-assisted setup guides are distributed through HTML, rendered Markdown, PDFs," } ] }, { "problem": "Keep knowledge current and machine-readable", "summary": "Tooling that keeps references accurate, auditable, and usable by humans and agents alike.", "layer": "knowledge_infrastructure", "components": [ { "name": "AI Tool Watch", "url": "https://aitool.watch/", "repo": "ai-tool-watch", "vector": "capability_reference", "category": "open_pattern_or_spec", "who_this_is_for": "Anyone — humans or agents — who needs current, plain-English answers about AI tool capabilities, plan gates, and constraints before committing to a tool.", "what_problem_it_solves": "AI tool capabilities, plan limits, and constraints change constantly and are scattered across marketing pages. AI Tool Watch is a single, verified, plain-English reference for humans and agents." }, { "name": "Knowledge-as-Code", "url": "https://knowledge-as-code.com/", "repo": "knowledge-as-code-template", "vector": "knowledge_infrastructure", "category": "open_pattern_or_spec", "who_this_is_for": "Teams that want a knowledge base treated like code — version-controlled, ontology-first, multi-output — without standing up a database or CMS.", "what_problem_it_solves": "Knowledge bases usually live in databases or CMSs that aren't diffable, portable, or agent-readable. Knowledge-as-Code applies software engineering practice (plain text, Git-native, ontology-driven) to produce a searchable HTML site plus JSON API from one source." }, { "name": "Skill A11y Audit", "url": "https://skilla11y.dev/", "repo": "skill-a11y-audit", "vector": "agent_skills", "category": "open_pattern_or_spec", "who_this_is_for": "Developers and AI coding agents who need a WCAG 2.1 AA audit of any web project without installing accessibility tooling into it.", "what_problem_it_solves": "Most accessibility tools require manual setup and produce raw violation dumps with no prioritization. Skill A11y Audit is a drop-in WCAG 2.1 AA audit that runs against any web project and returns prioritized, actionable fixes." } ] } ], "member_count": 15 }