Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
jevals-data
Independent benchmark data for TypeSafe's Jev (System One model) vs LLMs: accuracy, calibration, cost. Boards + per-decision logs, CC-BY-4.0
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Not reported
- License
- CC-BY-4.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- GitHub stars
- 1
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
The data behind [jevals.com], an independent, ground-truth benchmark of TypeSafe AI's **Jev** (the first System One model, called as `typesafe-ai/jev` through Vercel AI Gateway) and the LLMs that answer the same typed questions: **noul** (yes or no), **choice** (pick one of N) and **score** (place the state on a rubric). Every answer carries probabilities and is scored against human labels for Decision Score, accuracy, calibration, cost and speed. New to Jev? [What is Jev? The System One model,
Evidence commit: 21bb47b72814cf661539b313844d2d2e26166e54
Discovered through: awesome-jev.
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