Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
jev-nfl
Before every NFL snap, a decision-only AI model (TypeSafe Jev) calls run or pass and go/punt/kick on fourth down, graded live against the coach.
Project facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- JavaScript
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-20
- 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.
4. `src/jev.mjs` sends the situation plus those rates to Jev with three typed questions: `play_type` (choice pass/run), `first_down` (probability), and on fourth down `fourth_down` (choice go/punt/field goal). Model pinned to `jev-1.13.0`.
Evidence commit: e0a97166bd1e7775ea113f8707e2a2dfc763790d
Discovered through: github-search.
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