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.
Jev-DocEval
A hybrid CLI and SPA dashboard leveraging the TypeSafe System One (Jev) API to perform quantitative, rubric-based evaluations of markdown documentation.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- GitHub stars
- 0
- 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.
Jev DocEval is a local, AI-powered reviewer for your technical documents — API specs, RFCs, onboarding guides, and more. It reads your markdown files and scores them on **Clarity**, **Completeness**, **Actionability**, and **Technical Depth**, so you know exactly what to fix before you ship.
Evidence commit: 14ee7b9b6f326bafe5991d26475a3027bc477f6a
Discovered through: github-search.
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