Claim
The statement or decision basis under review.
Evidence before automation
Skill Core Labs builds the accountability layer for AI decisions.
Skill Core records claims, evidence, authority, model context, outcomes, and failure states. The purpose is to make AI work auditable against reality.
Problem
Most AI systems produce output without durable accountability.
They lose the original claim. They lose the evidence behind the claim. They lose the model version. They lose authority boundaries. They lose the outcome. They turn decisions into memory fog.
What Skill Core does
Skill Core converts AI work into certified claim events.
Evidence
The sources and records supporting, contradicting, or limiting the claim.
Authority boundary
The scope where the evidence can and cannot be used.
Model version
The model context tied to the output at the time it was produced.
Outcome stream
The later results that make the original claim checkable.
Reality validation
The comparison between represented behavior and observed results.
Trust update
The evidence-based change in confidence over time.
Failure semantics
The explicit reason a claim failed, degraded, or became insufficient.
Products
Built for decisions that need evidence and outcome memory.
Explore Model Reality Ledger, Truth Engine, and Certified Skill Calls.
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Skill Core is not another chatbot.
It is the accountability layer underneath AI work.
Pilot offer
Start with one narrow decision domain.
- Bind claims to evidence.
- Track outcomes.
- Produce an audit report.