Jev ecosystem projects — page 130
3926 repositories with documented relationships and source evidence.
Playwright AI Benchmark: Klasik Playwright vs JEV (TypeSafe AI) vs GPT-5.6 Luna vs GLM-5.3
Reusable, inspectable Jev decision contracts for Python applications and automation.
Use TypeSafe Jev yes/no probabilities in Python if conditions.
Feed it context. Break the quiz. A privacy-first, browser-only questionnaire assistant powered by JEV.
国服《英雄联盟》版本更新公告的本地 RAG 问答:数字只来自公告,Jev(TypeSafe System One)负责候选重排与回答自检
RCIL: The Question Intelligence Layer for System One (TypeSafe Jev). Cuts agent costs by 95% and eliminates decision hallucinations.
自學工作坊:確定性 Cursor hook + deferred Jev 加註,六關 PR 驗收
Say it, and your computer does it. Voice-controlled computer agent on TypeSafe Jev for macOS and Windows.
TypeSafe Jev shadow-evaluation plugin for Rspamd with optional GPT provider comparison
deterministic and system-one model tools to determine the quality of a project
Paste a video script, get an editorial verdict: Jev-backed script and title judging for shorts and long-form video.
Describe a file, app, setting, Chrome tab or person on your Mac and open it. Menu-bar search panel (⌃⌥F) over Spotlight, read by TypeSafe Jev or Apple Intelligence on device.
Label every sentence of a document with calibrated probabilities from Jev, rendered as a heatmap
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
The final check pass for shipping web apps: mechanical gates + AI-judged quality scoring + is-agentic measurement. Stdlib-only, exit-code honest.
The AI deploy gate. Ask Jev if it's safe to ship — before you push. Blocks scary Friday deploys.
Mop the slop out of your LinkedIn feed. Not an AI detector: a bad-writing detector. Chrome extension + Vercel server, powered by Jev from Typesafe AI. MIT.
the open TypeSafe Jev that runs on your mama's phone. 2.5B params, one forward pass, zero generated tokens.
How many decisions can a model make in a minute, and what do they cost? Jev, a System One decision model, raced against six LLMs on the same Snake boards.
Style and quality linter for Norwegian and English text - MCP server for agents, with TypeSafe's Jev as the judgment layer. Reports findings, never authorship verdicts.