Publicación de lanzamiento de Jev
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
El anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
TypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de Venice.
Start with the Launch Post. Explore four official signals.
1198 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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Agent budget brake — continue / downgrade_model / stop via TypeSafe Jev.
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Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it.
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Bug-hunting crawlers built using Unix-style primitives, designed for automated system analysis.
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A user tested the new Jev model and shared insights about its significance for System One models.

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Six hook gates for Claude Code that catch broken rules, out-of-scope edits, unfinished asks, and false claims, each judged by Jev against a fixed checklist and one piece of evidence.
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Runnable Jev examples through OpenRouter for immediate implementation.
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📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included.
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Creates a dynamic audience of 100 simulated personalities that respond individually to user input using Jev.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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A tool that interprets spreadsheet intent rather than just recalculating numbers, providing rapid contextual analysis.
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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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Jev filters social media posts to reduce negative content exposure by categorizing them.
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A community post explaining Jev's role in improving agent efficiency and cost-effectiveness.
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A verified, community-maintained catalog of 485 open-source projects built with Jev.
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弈瞬:双 Jev 五子棋九宫格输入实验台,逐手查看模型决策,支持真实对局回放与实时对战。
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Jev controls live 3D character expressions with real-time decision-making.
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TypeSafe Jev as the pi coding agent's quiet decision layer.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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Evaluating TypeSafe's System One primitives (Choice/Score/Noul) — where a typed oracle beats an LLM call.
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Codex plugin: verbatim Jev-guided context restoration around session compaction. Port of tamaratran/fast-jev-compaction to Codex lifecycle hooks.
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A community post details a Pac-Man game where every move is determined by Jev, offering strategic insights.
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Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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Open-source Chrome extension that filters AI-generated prose and ads with Jev.
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A tool that analyzes WeChat threads for emotion, intent, and reply quality.
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TypeSafe Jev controls original StarCraft shareware through keyboard and mouse with recorded action probabilities.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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Jev scores collapsed log batches; code maps answers to suppress, watch, review, notify, or page. Nothing is executed.
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Official TypeSafe reference: How to build with TypeSafe.
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Probabilistic decisions for Python. Use Jev or bring your own provider; crawl with Playwright.
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Hosted typesafe-ai/jev for AI SDK evaluate calls, no TypeSafe waitlist required.
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Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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A GitHub project where Jev plays Minesweeper, revealing its capability to handle real-time, turn-based game mechanics.
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A project exploring pixel-level image generation through parallel decision-making processes.
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Emoji autocomplete at the speed of typing. TypeSafe AI Jev on a Whop-hosted TanStack Start app.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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Batched single-token choice inference for open language models, compatible with TypeSafe.
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MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
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A community post about rebuilding the X algorithm with Jev to simulate post virality and global feed.
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A developer project related to market analysis using Jev, collected for the markets shelf.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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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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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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A chat bot using Jev without a large language model, providing instant responses by integrating web search, Wikipedia, weather, and other tools.
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A visual TypeSafe demo where Jev chooses verified Tetris placements.
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Browser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev).
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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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Utilizing Jev, the RLCD-type model provided by TypeSafe AI, to independently and cheaply judge agentic coding sessions.
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MCP skill router where Jev picks the relevant skills instead of a long agent search.
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Context curator for Pi agent using Jev technology.
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Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types.
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An integration with jev by typesafe.ai in Rust.
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A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.
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A tool that monitors user interactions and intervenes only when it detects confusion or difficulty, using Jev to determine appropriate responses.
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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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Fast JEV compaction extension for pi.
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A demo project enabling voice commands for Fusion 360, where Jev identifies if speech is a command or casual talk.
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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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Type-safe model router. Jev (System One) banks each request to a typed catalog route.
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Jev enables flexible, type-safe classification as a fundamental programming primitive.
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Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev.
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