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.
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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Cliente oficial sincrónico y asincrónico de Python. pip install typesafe-sdk.
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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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Reemplazo oficial de TypeSafeClient con soporte para APIs de OpenAI, Anthropic y LLM compatibles, para comparar Jev contra modelos de chat.
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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 project aimed at reducing token usage for coding agents via an MCP server.
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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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A moderation system for Mastra agents that processes inputs in a single file.
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Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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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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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 macOS tool for identifying safe ports to stop, developed as a GitHub project.
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Proof of concept MCP for Typesafe's new Jev AI model.
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A Go client for the TypeSafe API, aimed at developer tools and applications.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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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 research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
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A GitHub Action using Jev for automated PR triage and classification.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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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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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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An agent project that enforces policies by judging Claude Code tool calls.
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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 tool enhancing zsh autosuggestions with Jev-based ranking instead of prefix matching.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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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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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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Un puerto de Elixir seguro de tipo del SDK oficial de TypeScript AI (ai / ai-sdk) que proporciona integraciones unificadas de LLM, texto en streaming y salidas estructuradas, llamadas de herramientas y flujos de trabajo agentes. Jev es su modelo principal y es el primer modelo System One.
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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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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
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OCR de la pantalla, clasificación de la próxima acción con TypeSafe, clic. macOS.
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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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Jev-assisted file retrieval and request caching for faster Pi workflows.
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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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MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
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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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A command-line interface for Jev that provides answers and exit codes based on input questions.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Runnable Jev examples through OpenRouter for immediate implementation.
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Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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Everyday Stocks Status with Jev.
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A developer project for agent-native routing that selects models based on task complexity.
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Route to the cheapest model in claude code for your task using jev-router.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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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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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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Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.
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Autonomous Jev pull-request review with typed decisions, calibrated approval gates, and trusted-owner escalation.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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Openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド.
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Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0.
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Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul).
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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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TypeSafe structured-output provider for RubyLLM 2.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A research project auditing Jev's performance with the Spanish language.
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Multi-drone autonomy lab demonstrating TypeSafe Jev reflex decisions with optional System 2 strategy guidance.
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Non-Autoregressive AI Agent Decision Model. Open-source SOTA alternative to TypeSafe Jev. O(1) Tool Routing & DOM Automation on Qwen3.5-2B .
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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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An unofficial Laravel package offering typed responses and test fakes for Jev integration.
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Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes.
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Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.
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A developer project integrating Home Assistant with Jev for processing user input without an LLM.
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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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