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.
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Recent activityA 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.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Plugin de código Claude que substitui o resumo de compactação por decisões Jev, avaliando todas as chamadas de ferramentas e resultados em uma única solicitação rápida, descartando ou truncando os obsoletos.
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Agente ultra-rápido para uso no navegador: Jev seleciona a operação e o elemento DOM em uma única solicitação; um pequeno LLM escreve texto apenas quando necessário.
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Cliente oficial sincronizado e assíncrono em Python. pip install typesafe-sdk.
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Uma porta idiomática para Elixir do SDK oficial TypeScript AI (ai / ai-sdk), oferecendo integrações unificadas de LLM, stream de texto e saídas estruturadas, chamada de ferramentas e fluxos de trabalho agêntes. Jev é seu modelo principal e o primeiro modelo System One.
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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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Route to the cheapest model in claude code for your task using jev-router.
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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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A developer project for the games shelf, where Jev improvises piano with proper questions.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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A Go client for the TypeSafe API, aimed at developer tools and applications.
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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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A small, extensible decision-to-action harness for TypeSafe Jev.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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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 React app that estimates an age range based on a Korean name, described as a developer tool.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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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A developer project that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.
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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.
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Uso de computador por cerca de $0,0002 por etapa: digitalize a tela, classifique a próxima ação com o TypeSafe, clique. macOS.
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Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev).
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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.
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A collection of research papers and open reproductions supporting System One models.
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Runnable Jev examples through OpenRouter for immediate implementation.
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A developer project for agent-native routing that selects models based on task complexity.
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100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
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A developer project using Jev to play Pokémon Red by typing each turn.
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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
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Cliente oficial em TypeScript/JavaScript com tipos de resposta inferidos. npm install @typesafe-ai/sdk.
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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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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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A self-hosted skills library with optional Jev recommendations.
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Proof of concept MCP for Typesafe's new Jev AI model.
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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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Substituição oficial do TypeSafeClient com suporte a APIs de LLM da OpenAI, Anthropic e compatíveis, para comparar Jev com modelos de chat.
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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.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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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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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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An agent project that enforces policies by judging Claude Code tool calls.
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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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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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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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A developer project providing a second MCP server for Jev from the PyModel initiative.
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A lightweight Jev-powered router for models, tools, and subagents.
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Pre-install security gate for npm lifecycle scripts using TypeSafe System One.
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Jev (TypeSafe) model router on the Vercel AI Gateway.
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Go SDK for TypeSafe AI API https://docs.typesafe.ai/api.
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Open-source Chrome extension that filters AI-generated prose and ads with Jev.
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Ask a yes/no question of every function in a codebase. Ranked answers in seconds, for cents. Grep whose pattern is a question, powered by TypeSafe Jev.
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