TypeSafe steps out of stealth
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
A FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can useXem dự án ↗Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneXem dự án ↗Four official signals. A fresh starting point on each visit.
1.198 tài nguyên
AI-assisted summaries and translations. Check original sources for context and performance claims.
A tool that analyzes public PR links to determine if they are safe to merge or need review, using Jev's capabilities.
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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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Trình thay thế TypeSafeClient chính thức được hỗ trợ bởi API LLM của OpenAI, Anthropic và tương thích, để so sánh Jev với các mô hình trò chuyện.
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Jev-assisted file retrieval and request caching for faster Pi workflows.

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A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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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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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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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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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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A self-hosted skills library with optional Jev recommendations.

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A Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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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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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.

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Explains Jev's advantages over older LLMs in decision-making and building.
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Tutorial covers API setup and building prototypes with Jev and LLMs.
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A PostgreSQL extension enabling natural language queries across databases.
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Jev attempted to draw on a pixel canvas but failed to produce recognizable output, indicating limitations in its generative capabilities.
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A social media feed optimized using user bookmarks and Jev's analysis.
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Tool for systematic reviewers to extract information from research articles efficiently.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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A community project showcasing Jev's potential through a competitive snake game where two Jev instances battle for victory.
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Voice command integration for the Autumn billing dashboard to streamline tasks.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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A developer project for agent-native routing that selects models based on task complexity.

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A trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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Jev predicts upcoming shell commands by analyzing historical command data.
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Jev plays Tetris by making real-time decisions to move blocks.
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A Jev-compatible public API using an open model for fast parallel processing.
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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 community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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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 community post describing an autonomous driving system using Jev to process real-time environmental data.
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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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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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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 4-minute video explaining what Jev is and its limitations.
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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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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.

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A real-time tool to analyze and categorize tweets for viral potential.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.

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Jev is discussed with examples of Choice, Noul, and Score in a Python project.

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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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Context curator for Pi agent using Jev technology.

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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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A community tool leverages Jev to identify relevant X discussions for business outreach.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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A developer project for automatic context clearing in Pi without losing conversation history.

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An experimental trading system using defined rules and Jev for decision-making.
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An ad blocker extension using AI for real-time classification and removal of ads.
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A community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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A resource discussing a new model type that outperforms LLMs in specific areas, collected for the tools shelf.
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Classifies tax documents using an LLM pipeline for efficient processing.
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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 live Bluesky feed with real-time emotion detection and user avatar matching.
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Jev selects legal moves in a game of chess, compared to reasoning models.

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Jev generates piano music by selecting notes and chords based on input sequences.
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A community project uses Jev to detect AI-generated text, providing real-time sentence-by-sentence analysis.
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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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Jev is used in mobile end-to-end testing with improved efficiency.
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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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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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