Supervised Windows UI Automation with TypeSafe Jev: bounded choices, local policy, verified outcomes.
Jev ecosystem projects — page 172
5191 repositories with documented relationships and source evidence.
Jev Workbench: a C++ desktop workspace with Python diagnostics and structured TypeSafe evaluations
Tag X/Twitter accounts with TypeSafe Jev and hide posts by tag (Chrome MV3 / WXT).
Semantic YouTube recommendation filtering powered by Jev
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Open, auditable reproduction of TypeSafe Jev: a 2B probabilistic decision model benchmarked across six public suites with weights, code, and receipts.
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100% clean-room, copyright-free 2D platformer benchmarking TypeSafe Jev AI in real-time control (60 FPS)
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No project description available.
Calibrated decision layer and risk gate for AI coding agents. Routes yes/no, routing and scoring judgments to the Jev System One model at ~$0.0000123 per decision, then enforces the result deterministically through Claude Code PreToolUse hooks. Fitted thresholds, not guessed.
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Ask Jev about an image. A CNN reports what it sees with a calibrated confidence or an abstention; Jev judges what it means.
Monorepo for jevfanity, a profanity detector using Jev by TypeSafe AI
Official Model Context Protocol (MCP) server for JevGuard and TypeSafe AI
Experimental System One implementation of the SingGuard-NSFA agent-security taxonom.
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No project description available.
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jevhunt project
把判断和写作分开的本地 agent：Jev 负责所有能用类型表达的判断，语言模型只写该写的。零第三方依赖。A local agent harness that puts a System One model in front of the LLM.
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Jev-style Choice, Score and Noul decisions from ordinary models. An optional DSH plugin.
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A malicious instruction protection skill and prehook for zcode
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Evaluating TypeSafe's System One model Jev through camera-based food allergen estimation (Flutter, iOS/Android)
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Evidence-backed Jev opportunity mapping for public GitHub repositories
Typed questions over your own state, not a chat. A front end for TypeSafe's System One API.
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Four linters in this ecosystem are powered by Jev. None lints the Jev questions themselves. Nine rules from TypeSafe's own documented failure modes, no API key, no labelled data, 0.03s.
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Rust client for TypeSafe AI's Jev (System One) model: sans-IO core, typed questions, WASI transports
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What Jev answers when the only options are true and false. 3,539 statements put to TypeSafe's System One model, one subject swapped at a time — open dataset, runner and every raw response.
Jev (TypeSafe System One) plays Minesweeper, scored against an exact probability oracle. Its judgments came out worse than random — and 86% of the model calls turned out to be unnecessary.