Jev ecosystem projects — page 5

Describe your startup idea. Jev decides: kill it, fix it or ship it.

Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it

TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers

Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0, sponsored by AY Automate.

The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types: generate, stream, and a calibrated decide (via TypeSafe Jev). MCP-native, voice (TTS/STT/realtime), RAG, memory, file processors. Powers Tara, Yama and Clairvoyance at Juspay.

grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる

Typed decisions with TypeSafe's Jev, the first System One model

A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

A skill for writing and improving programs that call Jev, TypeSafe's System One model

Live Jev trader on Hyperliquid

A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

The open-source of DomA, an AI automation agent for the browser.

OpenSource Jev

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

《Jev 工程学：为 coding agent 而作》完整中文翻译 — 保留原结构与 7 张插图

Bounded TypeSafe Jev workflows for coding agents.

A small extension that demos the combination of Jev x WebMCP

JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.

Agentic RL 中文零基础教程（25 章）：从概念到 GRPO 实战，含 TRL 最小可跑示例。第 25 章讲清 Jev / TypeSafe System One 判别模型与 RL 的能力边界 | Chinese Agentic RL tutorial, 25 chapters + Jev-vs-RL boundary analysis

Code quality and coverage for coding agents

Fish-style zsh history autosuggestions ranked by Jev (TypeSafe)

Open Jev implementation with custom finetuning