Keep arithmetic in code. Give judgment to the right model.
Exact bounds, parsing, latency, token, and cost checks stay deterministic. Jev handles atomic semantic decisions. LLMs add critique only when uncertainty warrants the extra cost.
Evaluation infrastructure, made inspectable
Know why your AI system passes.
Combine exact checks, Jev's calibrated decisions, structured LLM judges, and human review in one local-first workbench.
LIVE DECISION TRACEmock mode
Candidate: “Refunds are available within 30 days.”
NoulIs this answer grounded?0.93
ChoiceWhat failed?retrieval
ScoreHow complete is it?3.4 / 4
Verdict: pass. Confidence is above the release threshold.
Confidence-gated cascades
Accept clear outcomes, escalate uncertain ones, and always route release-critical cases to a human.
Version every input
Datasets, rubrics, and candidates remain reproducible.
Measure calibration
Inspect probability, disagreement, stability, cost, and regressions.
Start with evidence