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.
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Recent activityA 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.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Agente ultra rápido para uso en navegador: Jev selecciona la operación y el elemento DOM en una sola solicitud; un pequeño LLM solo escribe texto cuando es necesario.
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Plugin de Claude Code que reemplaza el resumen de compresión con decisiones Jev, evaluando cada llamada de herramienta y resultado en una sola solicitud rápida, descartando o truncando los datos obsoletos.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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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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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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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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A collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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Proof of concept MCP for Typesafe's new Jev AI model.
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A small agent using Jev compaction to manage searchable memory efficiently.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.

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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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A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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An agent system that makes one Jev decision per computational step.
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MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.
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Official TypeSafe reference: Skill suggestion.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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An open-source model for form-filling tasks with low latency.
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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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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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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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A content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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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 developer project for agent-native routing that selects models based on task complexity.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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Ultra-fast model routing using Jev for agent-based systems.
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A social media feed optimized using user bookmarks and Jev's analysis.
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Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
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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 community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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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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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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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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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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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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A Brave extension that scores posts for logical fallacies in real time, highlighting well-reasoned content with a green flag.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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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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A focus group experiment using Jev to make scroll or stop decisions on ads.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Experimental protocol for evidence-aware agent handoffs, with Jev-assisted review before results reach the lead agent.
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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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Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples.
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OCR de la pantalla, clasificación de la próxima acción con TypeSafe, clic. 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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Task plus subscription list in, Jev picks which model or agent should handle it.
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Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex).
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Playjev uses Jev for browser automation with decision-making capabilities.
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Select Git changes for staging with a plain-language description.
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A resource explaining Jev Engineering methodology for AI agent development.
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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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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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Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM.
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Agentcard integrates Jev and Kernel to enable secure and efficient online shopping by agents, avoiding token costs and safety issues.
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Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.
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DiffJury — TypeSafe Jev PR risk router + code review coach.
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Cut Claude Code's skill manifest by ~75% with TypeSafe Jev. Scores every installed skill for relevance and hides the rest via skillOverrides — 12,750 → 3,185 tokens on a 217-skill install, for $0.0009 a session.
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Route HTTP requests by meaning. A semantic router for Hono powered by Jev.
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