Lightning-fast AI supply chain security auditor using Jev (System 1 models). Catch typosquatting and malicious scripts in milliseconds.
Applications — page 16
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
Visually configure Jev questions, test them live, export ready-to-use code.
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Self-hosted, Jev-compatible decision-model API — one /v1/systemone endpoint, open weights (Laya, kev), one Docker image per engine.
Daily curated Jev AI projects, System One community models, and real-world use cases.
No project description available.
https://v.douyin.com/iJtUdfsywHU/
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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
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).
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Do what I mean: type what you want in plain words and it runs the right menu item in any Mac app. Powered by Jev (bring your own key).
tell you everything about jev,TypeSafe AI's System One model for typed decisions.
A multi-account manager and API gateway for TypeSafe / Jev. 一个用于 TypeSafe / Jev 的多账户管理器和 API 网关。交流群：1102910606
弹幕照开，噪音别来。用 JEV 为 B 站评论和弹幕降噪：剧透、反串黑、广告、基本盘一键过滤，想屏蔽什么，再写一句话。Chrome 插件，原页生效，MIT 开源。
One TypeSafe Jev decision per step over the A11Y tree, executed via ADB. No screenshots and ultra fast!
A System One model (jev) plays Craftax; an LLM sets the goals
Jev Slop Guard — a Chrome extension that scores and stamps AI slop on your X and LinkedIn feeds as you scroll
About calibrating Jev for code reviews
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use jev in dbt
Typed semantic judgments and pattern matching for TypeSafe Jev and local Laya in Elixir
Scan a GraphQL schema and flag PII, auth gaps, N+1 risk, and naming/doc issues using TypeSafe's Jev model
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Classify Hugging Face datasets across typed semantic dimensions with TypeSafe Jev System One.
NYC 311 complaint heatmaps with TypeSafe JEV: reproducible pipeline, live research results, and interactive geographic visualizations.
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A character-level language model built on Jev, a System One classifier
Jev Can Trade Stocks — a point-in-time O'Neil momentum backtest where TypeSafe's System One model picks the entries and judges the exits
No project description available.