Architecture

AI output becomes accountable when claims can be checked against evidence and outcomes.

Skill Core does not assume an answer is true because an AI produced it. It waits for evidence and outcomes.

Claim capture

Record the specific claim, recommendation, or decision basis before it dissolves into conversation history.

Attach source records, excerpts, observations, and limits to the claim they support or contradict.

State where the evidence is strong enough to use and where it should not be carried forward.

Preserve model, source, and operating context so later review can reconstruct how the claim was produced.

Connect future observed results back to the original claim event.

Compare represented behavior with observed behavior over time.

Adjust trust based on evidence and outcomes rather than static assertion.

Name whether a claim failed, degraded, exceeded authority, or became unsupported.

Produce a buyer-readable record of what was claimed, what supported it, what changed, and what remains unresolved.