Launches on September 21, 2026

Watch declared Jev criteria resolve in honest request-arrival order and export the verdict wall.

A local Node lab for TypeSafe's Jev (System One): typed questions in, probabilities out. The API key never leaves your machine.

Prioritize human labels with active-learning strategies, durable review history and clean holdout evaluation.

Zero-config AI issue labeling with TypeSafe's Jev. No generated text. Unofficial.

A cottage in React Three Fiber whose eleven working parts are judged, as you flip them, by typesafe-ai/jev — an evaluation model reached through the Vercel AI Gateway.

Chess head-to-head bench: TypeSafe Jev vs Laya (System One legal-move decisions)

Calibrated Jev ranking before lossless context condensation

Calibrated Jev ranking before lossless context condensation

Detect which changed legal provisions may affect a declared business activity.

Chrome extension that rings AI slop in your LinkedIn feed, judged by typesafe/jev-1.13 — a structured decision model

Use TypeSafe's JEV to review code conventions function by function. Define the rules in `rules.md` and use a Claude Code mod to automatically review the files modified during the current turn at the end of each turn.

Independent playground for TypeSafe AI Jev decision models: typed decisions, support-ticket routing, reproducible evaluations, and a local browser demo.

Triage French public procurement notices for a company capability profile.

Version political commitments and detect how sourced promises change over time.

Minimal MCP server exposing TypeSafe/OpenRouter /api/alpha/decisions as five judgment tools

Unofficial stdio MCP client for TypeSafe Jev. Bring your own API key.

MCP server that lets Claude Code and Claude Desktop drive the jev-ultrafast browser agent in your real Chrome, with a domain-bound safeguard

MCP server exposing TypeSafe AI's Jev decision model to Claude (stdio, two tools: jev_evaluate, jev_route)

Semantic MCP middleware that intercepts AI-agent tool calls and combines deterministic policy with TypeSafe Jev risk judgments before actions reach upstream MCP servers.

Watch a growing text transcript and update declared meeting signals with exact quoted lines.

Minesweeper played by TypeSafe's Jev System One model: one P(mine) per hidden cell per move, code owns the policy.

Route bounded decisions through Jev and hand open-ended work to Mistral.

Jev + Multimodal: shared visual decisions, evidence adapters, source audits and reproducible public-image benchmarks.

A ultra-low-cost social simulation engine based on OASIS, powered by TypeSafe Jev.

Jev × obniz LED: Physical AI Hello World — text → typed decisions (TypeSafe System One) → WS2812B LEDs

Turn a French-language situation into confirmed inputs for an OpenFisca simulation.

Jev-powered Python pipeline for filtering cold outreach leads, detecting buying intent, selecting personalization angles, and exporting qualified contacts to campaign platforms.

Deduplicate, cluster, link and find contradictions with measurable blocking and a deterministic cascade.

Perfume recommendation chatbot powered by TypeSafe Jev's typed decisions (no generated text) over FragDB-format fragrance data

Paper-trading dashboard for crypto perpetuals routed through Jev (TypeSafe System One model), inspired by public Jev-trader builds. Simulation only, no real order execution.

Inventory personal data with local checks first and optional column-level semantic classification.

A playground for TypeSafe AI's Jev (System One model), built around five real production workflows: support triage, RAG relevance gating, agent action firewall, inline moderation, and CI eval judging.

Demos que enseñan en qué se diferencia Jev (el modelo System One de TypeSafe AI) de un LLM normal

Local test harness for TypeSafe's Jev (System One) API

只会做选择的 AI 实验室：Jev 做题、游戏与概率实验（Cloudflare Workers + React）

Classify large playlists by song language with TypeSafe AI's latest Jev model.

A hands-on tour of Jev, TypeSafe's decisions model: twenty demos across seven shapes, with a cost-and-agreement assessment against a chat-model baseline

TypeSafe AI の判定モデル jev に 2048 を遊ばせる PoC(Go CLI + Cloudflare Workers の Web デモ)

Turn typed Jev review findings into exact, undoable Premiere timeline markers.

Prior-authorization triage using TypeSafe AI's Jev (System-1 model) — payer-side utilization management, synthetic PHI-free data, audit-logged decisions.

Testing environment for TypeSafe's Jev model. It applies controlled perturbations (typos, adversarial text, reordering) to test cases, executes real API calls, and logs the raw JSON responses to DuckDB. Includes a web dashboard to track probability shifts, latency, and cost against an LLM baseline.

Prototype of Jev-powered Root Cause Analysis for events

Continuous actions driven by TypeSafe Jev: a code-owned inner tick, a Jev-owned decision tick, and the contracts between them. Mouse first; drones and robots use the same loop.

Jev (TypeSafe AI) で家計簿レシートを自動分類する TypeScript サンプル

Monitor official texts, relate changes to owned artifacts and preserve critical regulatory alerts.

Drop-in rerank API served by Jev: speaks the Cohere, Jina and Voyage rerank protocols, so any RAG stack switches by changing a URL.

Research notes and writeup on Jev, the TypeSafe AI System One decision model (Sept 2026)

https://www.webreactiva.com/blog/empezar-jev-typesafe

A Github Action for a Code Review Classifier built with the System One model Jev

Score declared writing dimensions and cite only exact source spans for weak results.