Post de lançamento do Jev
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
A FIELD GUIDE TO JEV / VOL. 01
O melhor de Jev: projetos reais, guias práticos e ideias de toda a internet.
Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
O anúncio oficial de lançamento do TypeSafe apresenta o laboratório e direciona os desenvolvedores ao Jev. Inclui o filme de lançamento de Diogo Almeida e a introdução original.
TypeSafe anuncia acesso público ao Jev sem lista de espera. O console oficial é o ponto de partida para testar decisões tipadas em seu próprio aplicativo.
TypeSafe destaca a abordagem de saída tipada do Jev: aplicações fornecem estado e perguntas, depois atuam sobre probabilidades, escolhas ou pontuações. A anúncio vinculado também aborda a integração da API Venice.
Start with the Launch Post. Explore four official signals.
1.198 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev conducts a sentiment-based stock market analysis for the Danish market in 2025, using diverse data sources with low cost.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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Jev's effectiveness in performing intent-based search within Gmail.
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JevForm creates adaptive forms that change based on user input meaning rather than fixed if-then logic.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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A community post confirming Jev's capability to generate text, responding to a claim that it cannot.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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Diogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
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A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
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A playful tool using Jev to provide random answers to questions.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.
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A project exploring pixel-level image generation through parallel decision-making processes.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.

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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.

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A tool that finds local makers using Jev, claiming high accuracy.
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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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 community project using Jev to control a Tesla Full Self Driving simulator, offering a quick rebuild.
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A free AI tool built on Jev that quickly scans text for low-quality content, processing around 10,000 words in 2 seconds.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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Jev play Tetris in real-time against other AI models.
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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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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
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A developer project for automatic context clearing in Pi without losing conversation history.
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Jev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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Jev achieved 100% task success on the WebMCP benchmark with significantly lower model costs compared to other systems, using a combination of tool selection and argument generation.
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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.

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Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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Context curator for Pi agent using Jev technology.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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A community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
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A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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A logic interpreter uses plain English to enable Jev to perform reasoning tasks it cannot handle alone.
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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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Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.
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A community reference exploring how Jev perceives toxic content, with limited detailed analysis.
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A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
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Screens 360 resumes in 24.2 seconds with low cost and automated scoring.
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Jev analyzes session replays to identify issues and generate bug fix PRs at low cost.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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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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A community project describes an agent system that uses Jev to route requests to appropriate models.
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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An agent system that makes one Jev decision per computational step.
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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 community project using Jev to customize Hacker News content preferences.
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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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An experimental trading system using defined rules and Jev for decision-making.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
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Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
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Jev selects legal moves in a game of chess, compared to reasoning models.
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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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A research project enabling SQL queries with real type responses.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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A community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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