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-document-classification
JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
Project facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- TypeScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-17
- GitHub stars
- 4
- 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 Document Classification is a local-first application that files root-level documents into configured category folders. It extracts readable text locally, then uses `typesafe-ai/jev` through Vercel AI Gateway for typed category, confidentiality, prompt-injection-risk, and subject decisions.
Evidence commit: 17cdc20acb407e7cfb623ef47d32e1b8568a5c86
Discovered through: awesome-jev.
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