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.
A 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.
1198 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
A guide explaining three types of micro decisions used by Jev AI.

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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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Game where Jev competes against LLMs in Pong.
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Everyday Stocks Status with Jev.
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A community reference exploring how Jev perceives toxic content, with limited detailed analysis.
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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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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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Jev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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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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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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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 predictive app launcher using Jev to interpret user intent and enhance app discovery.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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A Chrome Dino game implementation where Jev provides real-time decision scores.
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A community post discussing a system where Jev acts as a quality gate for drafts, though it faced issues with communication.
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A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
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A command-line interface for Jev that provides answers and exit codes based on input questions.
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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 tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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Jev is presented as a language generation tool in a community post, challenging perceptions about its capabilities.
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Cliente oficial de TypeScript/JavaScript con tipos de respuesta inferidos. npm install @typesafe-ai/sdk.
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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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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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Steve Krouse's playable 16-judgment demo and video.
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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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Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
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A log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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Jev processes 1,000 emails for category, priority, spam, and reply predictions.

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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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A tool that identifies App Store keywords by analyzing competitors and using Jev to filter relevant terms.
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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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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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SuperX integrado con Jev permite una puntuación rápida de publicaciones, analizando 61 preguntas por publicación en menos de un segundo con alta precisión en la predicción del potencial viral.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Jev generates 100 images from sources like NASA and The Met based on a single prompt.
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Utilizes Jev for quick coaching support and detecting and fixing slop during sessions.
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Screens 360 resumes in 24.2 seconds with low cost and automated scoring.
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Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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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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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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A system that generates text one character at a time using Jev, employing a classifier in an autoregressive loop.
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A tool using Jev to efficiently evaluate content by producing probabilities instead of text, faster and cheaper than traditional models.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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A community project using Jev to customize Hacker News content preferences.
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A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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Jev successfully played and won a match in the game Clash Royale.
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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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A challenge where 100 builders used Jev and Fable 5.1 to create a post scheduler, highlighting Jev's speed.
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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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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.

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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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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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