Applications for Jev — page 15

文献分诊 Chrome 扩展：用 TypeSafe Jev 给 Google Scholar / arXiv / PubMed / X / 小红书 的条目打 关注·普通·跳过，折叠或隐藏不值得读的内容

基于 Jev 的 Pi 上下文压缩扩展，在原生压缩前筛选过时的工具调用和结果，保留原生消息结构。

Test the most important path in your app. Describe it in plain words. Powered by TypeSafe Jev.

基于 RWKV-7 (g1k-1b) 的 Jev 式零生成决策引擎：受限 softmax 直读概率分布，支持 noul/choice/score 三原语，TypeSafe /v1/systemone 接口兼容，JevBench v1.2 公开集实测 acc 0.541 / p50 87ms

similarity-ts and fallow duplicate detection for TypeScript, filtered by TypeSafe's Jev down to the pairs worth refactoring

Drop-in /v1/systemone proxy that shadows Jev with local decision models (Kev, Laya) and reports whether you can swap

TypeSafe Jev

Compile documents, code, SOPs, and resolved cases into evidence-backed JEV judgments, legal actions, guarded adapters, and measured decision systems.

Two System One models fight a real Doom deathmatch. Laya (322M, open weights, local MLX) vs Jev (TypeSafe hosted). Same state, same typed questions, same shield — only the model differs.

Use the Jev (System One) decision-model paradigm with any OpenAI-compatible LLM — no TypeSafe key required. A jev_decide tool for DeepSeek Harness (dsh).

Personal LinkedIn feed labels and ad dimming powered by TypeSafe JEV. Bring your own API key. MIT licensed.

App de escritorio y CLI que puntúa la idoneidad de ofertas de empleo con tu perfil, con análisis y mapa de calor. Electron + Jev.

A simplified functionality reproduction of Jev-style decisions with Gemma 4. Native multi-modal ability, finetuning free, runs locally on your machine.

Classify your GitHub stars into GitHub Lists with TypeSafe Jev, and review stars worth dropping

Vietnam - Content safety guardrails for AI chatbots: input, output and conversation checks over one policy file with Jev

Typed-judgment model (TypeSafe Jev) driving task-level decisions on a simulated xArm7: reliability measurements, failure map, sensor-freshness gate

Using Jev as a chess engine

Highlight text, right-click, Ask Jev — TypeSafe Jev answers in a Chrome side panel

I tested the 'AI model for HFT' hype: TypeSafe Jev on 298,549 intraday trades. 48.4% hit rate, worse than a coin flip before fees. Every model response shipped, so anyone can verify without an API key.

Ask TypeSafe AI typed questions about JSON state from the command line

Typed semantic creature compilation with Jev: natural language → inspectable genome → deterministic procedural SVG.

LLM input gatekeeper MVP adapted for TypeSafe Jev - jailbreak/injection blocking with calibrated escalation

Comment moderation console adapted for TypeSafe Jev - spam/abuse/borderline routing at ~$20 per million comments

RAG quality gate adapted for TypeSafe Jev - relevance filtering + document injection detection, fan-out in one call