A safety guardrail that screens a user message against an assistant's policy before the assistant ever sees it.
Applications — page 69
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Track parliamentary documents that materially affect a declared topic.
Compute probabilities over a heierarchy of terms rather than a set with Jev from Typesafe
Heads-up no-limit Texas hold'em against TypeSafe Jev. The local engine deals and settles; Jev answers typed questions, and code composes the bet.
No project description available.
Watch declared Jev criteria resolve in honest request-arrival order and export the verdict wall.
0
A local Node lab for TypeSafe's Jev (System One): typed questions in, probabilities out. The API key never leaves your machine.
Zero-config AI issue labeling with TypeSafe's Jev. No generated text. Unofficial.
Chess head-to-head bench: TypeSafe Jev vs Laya (System One legal-move decisions)
Detect which changed legal provisions may affect a declared business activity.
Chrome extension that rings AI slop in your LinkedIn feed, judged by typesafe/jev-1.13 — a structured decision model
0
Use TypeSafe's JEV to review code conventions function by function. Define the rules in `rules.md` and use a Claude Code mod to automatically review the files modified during the current turn at the end of each turn.
Triage French public procurement notices for a company capability profile.
Version political commitments and detect how sourced promises change over time.
Watch a growing text transcript and update declared meeting signals with exact quoted lines.
Minesweeper played by TypeSafe's Jev System One model: one P(mine) per hidden cell per move, code owns the policy.
Route bounded decisions through Jev and hand open-ended work to Mistral.
Jev × obniz LED: Physical AI Hello World — text → typed decisions (TypeSafe System One) → WS2812B LEDs
Deduplicate, cluster, link and find contradictions with measurable blocking and a deterministic cascade.
Perfume recommendation chatbot powered by TypeSafe Jev's typed decisions (no generated text) over FragDB-format fragrance data
No project description available.
0
Inventory personal data with local checks first and optional column-level semantic classification.
Demos que enseñan en qué se diferencia Jev (el modelo System One de TypeSafe AI) de un LLM normal
Local test harness for TypeSafe's Jev (System One) API