Jev ecosystem projects — page 73

Turn an inbox into a short action queue with Jev (TypeSafe System One)

TypeScript MCP server that finds TikTok and YouTube micro-KOLs, tags their niche, scores campaign fit with Jev, and drafts outreach emails. Results are cached locally in SQLite.

Making TypeSafe's Jev talk. It can't generate text, only pick from options, so it writes replies one word at a time by choosing each next word from a 1,000-word list.

MCP server that lets Claude Code, Codex & AI agents drive a real Chrome browser with JEV (TypeSafe System One): ~100 ms typed decisions, calibrated confidence, human-in-the-loop questions, safety gates and a debug trace.

Agent Skill that finds where TypeSafe Jev decision models would pay off in a codebase. Works in Claude Code, Codex, Cursor and other Agent Skills hosts.

Ask TypeSafe's Jev model how your Singapore TOTO numbers look against recent draws

Talk to your Mac and it acts before you finish the sentence. Jev (TypeSafe) + ElevenLabs + on-device Whisper.

先回｜消息优先级助手 Windows + Android双端工具 JEV规则引擎 + AI自动判定消息优先级

TypeSafe Jev (typesafe.ai) 反向代理网关：原生 /v1/systemone 透传 + OpenAI 兼容层，含号池与控制台

A 2B browser-agent decision model. Speaks the TypeSafe System One protocol, so jev-ultrafast is repointed with one line. Answers do not move with the page title or the form layout. 100% on the action suite.

JevApi — .NET tooling for the TypeSafe AI Jev model, which evaluates typed questions (noul/choice/score) against a state and returns structured answers with probabilities and confidence.

Jev code harness

Decision model on a Qwen3-0.6B backbone with LoRA: fused decision endpoint (/v1/systemone) + OpenAI-compatible chat completions with thinking, SSE streaming and vLLM-style sampling, running on Apple Silicon MPS.

When Jev meets LLM — Transparent proxy that makes AI coding agents 3× faster and 80% cheaper. Cut response times from 2.4s to 890ms with Line J architecture.

An Obsidian-compatible knowledge base with reviewable Jev classifications, TypeSafe and Vercel access, and a documented build process.

Independent Rust runtime for Kev decision models (pointer heads on Qwen bases): MLX on Apple Silicon and Candle CPU, parity-gated against frozen upstream goldens

No project description available.

🎮 Play. Learn. Respawn. Turn LAYA & ModernBERT Decoder into tactical AI pilots in Cinder Station, an original Doom-inspired game. Explore RLCD + CE, TypeSafe Jev, interactive lessons & transparent benchmarks. Train locally or in Colab. Fork it. Train it. Play it.

Ask a yes or no question. Let Jev, or a fair coin, decide.

Turn plain-English engineering rules into pull-request checks

Stop AI agents from executing MCP tools unchecked — policy, approval, JEV decisions, and one-use execution permits.

极简现代 macOS 暗黑胶囊输入法：集成小狼毫 (Weasel) · 万象拼音海量词库与 400MB 语法模型 · TypeSafe Jev AI / Ollama · 图形化交互设置控制中心 (WebUI)

A tic-tac-toe app where one player is Jev, TypeSafe AI's System One Model with live confidence scores and probabilities.

a work in progress, built from the typesafe-ai-skill for building and analyzing jev opportunities