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.
Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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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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Jev's effectiveness in performing intent-based search within Gmail.
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Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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Jev demonstrated over 5x faster performance than other models in testing.
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A challenge where 100 builders used Jev and Fable 5.1 to create a post scheduler, highlighting Jev's speed.
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An experiment using Jev to enhance search functionality with intent recognition for improved user experience.
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Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
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A developer project for the games shelf, where Jev improvises piano with proper questions.
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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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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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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome.
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A tool that improves end-to-end testing efficiency, completing tasks faster and cheaper than other models.
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Jev autonomously controls multiple characters in a video game with rapid decision-making.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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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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A tool that provides quick actions based on clipboard content, specifically for macOS.
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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 sandbox where a TypeSafe System One model presses the controls of a small creature. Code runs the world.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Jev play Tetris in real-time against other AI models.
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A playground for experiments around Jev, TypeSafe's System One model.
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Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill.
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JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
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Habilidades oficiais para agentes Claude Code, Codex e compatíveis: primitivas, padrões e como estruturar avaliações.
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A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model.
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同じ発言を jev と LLM の両方に判定させ、感情の変動値のズレと応答速度を1画面で見比べるデモ(affectus + Vercel AI Gateway).
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Jev demonstrates potential for innovative UX/UI design through language model integration.
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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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Interactive TypeScript coding CLI with typed routing, decision programs, and validated formal trees driven by Jev.
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Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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Input moderation for Mastra agents on TypeSafe Jev — one file.
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A flexible and configurable CLI model router using TypeSafe Jev.
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An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments.
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⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One).
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Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.
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发明 RLHF 的人,这次做了个不会说话的模型:Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表.
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Dasheng is a GitHub tool combining speech recognition with Jev for real-time word-by-word transcription and marking of spoken content.
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Official TypeSafe reference: Changelog.
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A lightweight Jev-powered router for models, tools, and subagents.
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A Magic 8 Ball for pull requests: click the ball and it answers "should I approve this?" with one of the 20 classic phrases, chosen by Jev from the PR's real signals in about 200 ms.
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Pre-commit hook: one Jev call judges whether your commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential check.
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Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples.
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Official TypeSafe reference: TypeSafe Python SDK.
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Ferramenta de linha de comando para o modelo Jev da TypeSafe AI. Permite fazer perguntas sim/não, múltipla escolha e de rubrica sobre qualquer texto e obter probabilidades calibradas. As respostas funcionam como códigos de saída para shells e CI, JSON para scripts e ferramentas MCP para agentes de IA.
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MCP skill router where Jev picks the relevant skills instead of a long agent search.
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Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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A community post exploring Jev's role in improv judging, presented as a creative experiment.
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Typed decisions from a System One model. An uncertain answer is a different type from a confident one — and the compiler makes you handle it.
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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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Official TypeSafe reference: Double-checking citations.
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Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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Official TypeSafe reference: Score.
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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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A tool that uses Jev to quickly decide on GitHub PR approvals by analyzing CI, diff size, and reviews in 200 ms.
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Command-line tool for TypeSafe's Jev AI model.
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A guide for installing Jev skills, highlighting its potential to replace traditional LLM usage.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages.
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Semantic SQL for Postgres, powered by Jev.
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Shadcn-style reusable components and blocks for using TypeSafe AI.
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A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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Typesafe AI SDK in Elixir using Req.
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