AI
A model answer, agent action, recommendation, or tool call becomes an audit-readable event.
SkillCoreLabs
Evidence infrastructure · AI first
Every AI output is a claim.
Reality decides what it was worth.
Skill Core records what an AI system said, what evidence it used, where its authority ended, and what happened after someone acted on it.
Markets
A signal or trade thesis can be scored against realized outcome, timing, and drawdown.
Science
A hypothesis can be tied to methods, sources, replication attempts, and later evidence.
Built to generalize
AI is the wedge. Claims are the substrate.
Skill Core starts with AI because AI systems generate claims at machine scale. But the record is more basic than AI: claim, evidence, authority, context, outcome, validation, trust update, and failure semantics. That structure works anywhere a claim later meets reality.
AI
The core market. A model answer, agent action, recommendation, or tool call becomes a claim with evidence, scope, and an outcome trail.
Markets
A signal or trade thesis can be scored against realized P&L, timing, and drawdown.
Science
A hypothesis can be tied to methods, sources, replication attempts, and later evidence.
Creative fields
Art, music, and culture sit together as proof that taste still produces claims: attribution, recommendation, trend call, provenance, retention, and adoption.
Creative domains
One claim surface for taste, provenance, and attention.
WORK IN PROGRESS
[AI FIRST]
CLAIM FIELD 2026
Creative
Claims
Claims
Attribution, recommendation, and trend signals become records instead of vibes.
Reality decides ↓
Art
An attribution or provenance claim can be checked against records, ownership, expert review, and later correction.
Music
A recommendation is a prediction about future attention. Listening behavior, retention, and context become the outcome stream.
Culture
A trend call can be measured against adoption, persistence, audience shift, and what actually survived the moment.
The operating record
AI output becomes an audit-readable event.
Skill Core keeps the chain intact after the answer was given. The system can later ask whether the claim held, which evidence deserved trust, and where the failure actually happened.
- 01assertedClaim
The answer, prediction, decision, recommendation, or action the AI system proposed.
- 02boundEvidence
The sources, observations, data, tool calls, and reasoning that supported the claim.
- 03scopeAuthority boundary
Where the system could act, where review was required, and what context constrained the answer.
- 04observedOutcome stream
The later events and measurements that make the original output checkable.
- 05resolvedTrust update
The evidence-based change in how much this model, source, or workflow deserves weight next time.
Products
Evidence infrastructure for AI systems.
Five product surfaces, one record. Each writes to and reads from the same evidence layer, so AI systems can remember what they claimed and learn from what happened.
View products →01Skill Core MemoryDurable memory of claims, evidence, source quality, and outcomes across sessions.
02Truth EngineScores what to trust from evidence, contradiction handling, and track record.
03Model Reality LedgerValidation of model outputs against realized outcomes and failure semantics.
04Certified Skill CallsTool and skill calls that carry their own evidence, inputs, outputs, and authority scope.
05Agent GovernanceAuthority boundaries, escalation, and review gates for agents that act.
Pilot
Put one AI decision loop on record.
Pick one workflow where an AI system recommends, acts, or scores. We instrument the claim record end to end and hand back an audit trail your team can actually review.
Request pilot- 01▸Capture AI claims
- 02▸Bind evidence and scope
- 03▸Track outcomes
- 04▸Update trust