Verification infrastructure for AI agents

AI should not claim what it cannot prove.

FineSchema turns agent intent into explicit scope, retained evidence, and completion decisions.

A recorded claim check
Agent proposal
“Everything is fixed.”
FineSchema decision Claim blocked

The sentence states no verified scope.

PASS
11
FAIL
0
NOT RUN
0
UNKNOWN
0

Authorized instead “The defined scope passed its mandatory checks.”

The model proposes. The evidence decides.

Confidence is not completion authority. FineSchema separates a model proposal from what the system observed and may claim.

From request to allowed claim.

Each transition creates a boundary the next step must respect.

  1. IntentTranslate the request into obligations.
  2. ScopeBind the objects and exclusions.
  3. EvidenceRetain what each check observed.
  4. DecisionAuthorize only supported language.

Same model. Same tasks. FineSchema on or off.

Missing runs stay missing. Preliminary internal results stay labeled as preliminary.

Agent benchmarkBenchmark in progressLoading retained report
Semantic benchmarkLoading measured resultsNo value is inferred while loading
Defect recallLoading retained resultDefined synthetic mutation set only