The Jev launch post
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
Start with the Launch Post. Explore four official signals.
714 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Wikipedia link races with direct Jev ranking and a live terminal display.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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Ask Jev typed questions from the shell: noul, choice, and score answers as numbers, not prose.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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Jev-powered browser MCP for LLM agents — ~300ms decisions, no LLM tokens in the loop. Benchmark vs Playwright MCP included.
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A developer project focused on agent memory, where Jev determines what information is relevant to recall.
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2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
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A developer project that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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A developer project that converts vague agent requests into deterministic commands for improved reliability.
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Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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Play ten browser games from the screen with a 0.8B open model that returns a probability over the game's legal moves in one forward pass, no text generated.
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在 X 的时间线上,给每条帖子标出它想让你干什么。判断来自 Jev,一个只返回概率、不生成文本的模型。
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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A GitHub project showcases Jev's performance in a chess benchmark, achieving perfect gameplay with minimal cost.
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Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM.
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TypeSafe (Jev) skill routing for Hermes Agent: names the one skill worth loading, before the model call. Opt-in, stdlib only, ~$0.001 per routed turn.
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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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Non-Autoregressive AI Agent Decision Model. Open-source SOTA alternative to TypeSafe Jev. O(1) Tool Routing & DOM Automation on Qwen3.5-2B .
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Jev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking.
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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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Software Factory Foreman: an agent supervisor that uses Jev decisions to keep coding agents on task.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.
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Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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Jev controls an Astra planner playing Minecraft in a developer project.
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A developer project using Jev to score sales calls, collected for the creative shelf.
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Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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Skill for Hermes, and other agents, to ask typesafe's jev.
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PoC: TypeSafe Jev as the reviewer for Hermes Agent smart command approvals. 8.7x faster, 4.4x fewer prompts, measured on 153 real commands. Approvals only.
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Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
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A flexible and configurable CLI model router using TypeSafe Jev.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
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Experimental: live X draft viral scorer powered by TypeSafe Jev.
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Job Risk Analyzer: CLI and REST API that uses Jev to score an occupation's exposure to AI-driven layoffs and its resilience.
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A supervised Mint client for the TypeSafe AI System One API.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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Jev-Tool-Runner is a GitHub project where Jev selects developer tools and Codex generates code based on those selections.
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Prompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
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Jev (System One decision model) plugin suite for DeepSeek Harness (dsh).
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A developer project providing a second MCP server for Jev from the PyModel initiative.
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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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Filter command output for coding agents using a task description.
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Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent.
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Evaluating TypeSafe's Jev as a fast monitor and action gate for agent sabotage in SHADE-Arena, compared with Gemini 2.5 Flash/Pro.
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Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.
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Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev.
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⚡ Sub-100ms cognitive reflexes for autonomous coding agents. Powered by TypeSafe AI's Jev & get-fable.
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Know before you click. A Chrome extension that reads articles and YouTube videos ahead of you and says read, skim, save, or skip — with a confidence, tuned to your goals. Open source, MV3, powered by Jev.
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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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Jev / TypeSafe System One 中文精选列表:官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测,附中文上手指南,每日自动收录 GitHub 热门项目。
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A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.
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An unofficial Laravel package offering typed responses and test fakes for Jev integration.
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Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
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I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
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Jev is integrated into tools like Noul and Score for MCP applications.
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Real-time firewall for AI coding agents: a PreToolUse hook checks every Claude Code / Codex tool call with deterministic shell-aware rules, and unmatched actions go to Jev for a calibrated allow/ask/block that fails closed.
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CV diagnostics and job alignment with TypeSafe Jev, React and FastAPI.
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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.
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Typesafe/Jev public X demo.
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Swift SDK for TypeSafe AI.
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A teleprompter of talking points that checks each one off as you cover it, using TypeSafe's Jev Score questions.
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