Jev ecosystem projects — page 140

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15 Jupyter notebooks teaching Jev (TypeSafe System One) with a realistic SQLite sample shop — clone, add two API keys, and learn

Testing TypesafeAI's "Jev" model using System One API

Map your app's UI so Jev can drive it. Demo: order food by voice. Built with AdaL.

Agent skill: daily AI-driven (TypeSafe Jev + Playwright) userflow checks against a production site via GitHub Actions

Jev VJ: audio-reactive visuals where three TypeSafe Jev units deliberate the show (MAGI style). Cloudflare Workers + three.js/GLSL.

纯前端本地实验：对比 Jev (TypeSafe System One) 与 DeepSeek 在条件判断/结构化决策任务上的输出、概率、耗时与工程可用性

No project description available.

Side-by-side showcase: traditional LLM vs TypeSafe Jev (System One) on stock order policy decisions

inference demo of using jev for reasoning

Typed messages and an async Rust client for the TypeSafe System One (Jev) API

Native macOS launcher and window manager. Optional natural-language matching with Jev by TypeSafe AI.

JEVChess is an elegant, minimal chess platform designed around the chess.com aesthetic, It delivers rapid tactical responses using TypeSafe AI's **Jev** System-One model and heuristic fallback evaluation, without requiring any external database.

Behavioural anti-cheat research bench for Minecraft (Paper): mining telemetry, typed LLM questions, and an offline benchmark against classic X-Ray heuristics. Shadow mode only, never bans.

AI-native Android UI test runner using TypeSafe/Jev + Appium

Fast, low-cost real-time agents: take small decisions off the critical path with a System One classifier (Jev). Live demo in your browser.

A small Convex component that uses Jev to build a semantic index over your tables.

Measure an agent or a prompt with a panel of typed questions, judged by Jev

Let Jev judge. Let your code decide. Python issue-routing sandbox with labeled replay, an offline demo, and Kev support.

Typed Rust for TypeSafe AI's Jev: define questions as enums with macros, ask them with a built-in client, get typed answers with confidence.

Shared Python infrastructure for the JevKit tools

Plugin for Claude Code and Codex: TypeSafe's fast classifier Jev screens spec drift, failed CI runs and code-rule violations in seconds; your agent investigates only what it flags. Specs in English, Latin-alphabet languages, Chinese, Japanese and Korean.

Open-source MCP server that lets AI coding agents offload yes/no, multiple-choice and scoring questions to TypeSafe's Jev. Jev reads your files, your agent gets back tiny, confidence-scored answers, fewer tokens, faster runs. Works with a TypeSafe or OpenRouter key.