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Local document search that can refuse.
Applications for Jev — page 97
2602 repositories with documented relationships and source evidence.
ASSAY-001: independent, pre-registered verification of TypeSafe Jev's calibration and type-safety claims. Split verdict, published in full.
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OrthoCode AI is an evidence-first orthopedic medical-coding platform. Its runtime is constrained to a normalized, versioned codebook release and retains page-level evidence for every proposed coding line.
A production-oriented BEAM/OTP autonomy kernel for running an untrusted coding worker inside a disposable Linux execution domain while keeping durable authority, policy, effects, verification, recovery, and audit state in a trusted control plane.
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Axorbis is an evidence-first AI research workspace for exploring questions, organizing sources, verifying claims, running experiments, and turning research into reliable outputs.
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Let LLMs play Chess against each other
Watch TypeSafe's Jev classifier race across Wikipedia in real time — no LLM in the loop. Built by @dave_xt.
Claude Code hook: classify every tool call with TypeSafe's Jev (allow / ask / deny) so Claude never spends tokens judging its own tool calls
Sidecar: grade a cloudforge student writeup with TypeSafe Jev. Not part of the OSS product.
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Distraction-free YouTube learning feed powered by TypeSafe AI's Jev System One model
No project description available.
Ground News style bias check for the article in your current tab.
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An unofficial Go client for TypeSafe's System One Jev model
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Consumer research explorations using TypeSafe's Jev
A local lab for seeing what TypeSafe's Jev judgment model does on realistic business cases: typed answers, probabilities, policy in code, receipts.
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Experiments with Typesafe's Jev
Binary LLM-judge bench — compare Jev (TypeSafe System One) against a frontier LLM judge on speed, cost, and agreement with human labels.