CalibratedDecisions.

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jev-labs

Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong…

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From the repository

Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.

ai-safetyantithesisasyncapibyzantine-fault-tolerancecalibrationchaos-engineeringconsensusdeterministic-simulationdistributed-systemsformal-verificationjevllm-evaluationmetamorphic-testingmodel-checkingproperty-based-testingrustsystem-onetla-plustlctypesafe-ai

How builders describe it

Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.
Consensus kernel that wraps Jev as a probabilistic oracle: five paraphrased questions, a stability gate set from the measured noise floor and a 3-of-5 quorum, with TLA+ specs, an AsyncAPI contract and Rust tests generated and gated from them.

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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