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.
candidate-experience-benchmark
Compare TypeSafe Jev and LLMs on 60 synthetic candidate-experience reviews: four classification tasks, prompt variants, costs, tokens, and reproducible evidence.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- HTML
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-21
- GitHub stars
- 1
- Evidence checked
- 2026-09-25T16:45:37.000Z
- Metadata checked
- 2026-09-25T16:45:37.000Z
- 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.
**How well can TypeSafe Jev and general-purpose language models classify feedback written by candidates about their hiring experience?**
Evidence commit: bc2b7cf0e73aea20989bc469cda2804d69a41b48
Discovered through: github-search.
How we review →