Feed it context. Break the quiz. A privacy-first, browser-only questionnaire assistant powered by JEV.
Jev ecosystem projects — page 175
5191 repositories with documented relationships and source evidence.
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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
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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
No project description available.
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.
No project description available.
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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
SemanticPolicy adds testable semantic decisions to .NET applications: rules a decision model answers, measured on labelled examples, for business logic and AI agents, with no lock-in to one provider.
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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.
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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.
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AI triage layer for MP CM Helpline 181: Jev typed decisions + Claude, built at Claude Code Build Day Bhopal
Survey respondent quality control with deterministic rules plus semantic judgments from TypeSafe's Jev model — a fully reproducible worked example
No project description available.
Unofficial AXI-style CLI for TypeSafe System One models, including Jev.
Demo de un interceptor de fraude simulado que compara en paralelo un modelo Sistema 1 (Jev, TypeSafe AI) con un LLM (Gemini) sobre transacciones sintéticas: velocidad, costo por llamada y decisiones. Proyecto personal de experimentación, no es un benchmark.