The Jev launch post
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.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
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’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
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.
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.
Start with the Launch Post. Explore four official signals.
301 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Gregor Zunic's flight-search demo with a dynamic DOM action space.
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Experiment combining JSON rendering with Jev to create instant generative user interfaces for rapid component and design system rendering.
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A Jev-based query planner optimized Postgres performance, achieving a 12% speed improvement on join order benchmarks through tuning.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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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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Jev converts websites into native mobile apps by deciding the optimal build process and handling app store submissions.
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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 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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A tool that interprets spreadsheet intent rather than just recalculating numbers, providing rapid contextual analysis.
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A Jev-compatible public API using an open model for fast parallel processing.
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A community post describing control of a simulated fly.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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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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A community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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A self-hosted skills library with optional Jev recommendations.
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A community tool utilizing Jev to filter out unwanted reply-guy comments on platforms.
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Utilizes Jev for quick coaching support and detecting and fixing slop during sessions.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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A tool for calibrating Jev's confidence thresholds, presented as an open-source solution.
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A tool developed using Jev to create a voice builder for Youform, noted for its speed.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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Voice command integration for the Autumn billing dashboard to streamline tasks.
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A community post about rebuilding the X algorithm with Jev to simulate post virality and global feed.
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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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Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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Compact version of Jev that generates full probability distributions in a single forward pass.
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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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Screens 360 resumes in 24.2 seconds with low cost and automated scoring.
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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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An experiment using Jev to enhance search functionality with intent recognition for improved user experience.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
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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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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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Demonstration of Jev's capability for rapid variable generation in development workflows.
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Jev reviews pull requests with 14 automated checks, detecting issues like hardcoded secrets and SQL patterns.
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Jev AI plays Tetris at high speed, completing 357 pieces and 134 lines in 2 minutes. Demonstrates rapid decision-making capabilities.
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Jev is HERE. How to use it. A resource explaining how to access Jev through the Vercel AI Gateway and its potential business applications.

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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.
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A small, extensible decision-to-action harness for TypeSafe Jev.
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Jev's effectiveness in performing intent-based search within Gmail.
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A predictive app launcher using Jev to interpret user intent and enhance app discovery.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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An always-on assistant built with Jev that operates without a wake word, using probability to distinguish user intent.
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Jev model demonstrates fast decision-making in a strategy game. Achieves high-speed gameplay with minimal visual feedback.
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Jev is used to identify and flag low-quality text generated by Opus.
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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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X timeline labeler. A community post describing a Chrome extension that categorizes X posts into types like engagement bait or promo.
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Jev offers versatile use cases, with a community post suggesting potential for rapid SaaS growth.
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A tool for instant field mapping between templates and data sources, simplifying data alignment with one-click functionality.
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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 guide exploring Jev's architecture through 10,000 API calls.
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A React app that estimates an age range based on a Korean name, described as a developer tool.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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A community project for training a Jev-like architecture using a reverse-engineered model.
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A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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Creates a dynamic audience of 100 simulated personalities that respond individually to user input using Jev.
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A user tested the new Jev model and shared insights about its significance for System One models.

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A community post shares a tech talk by Jev's founder, highlighting its speed, cost-effectiveness, and lack of hallucination.
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Jev autonomously controls multiple characters in a video game with rapid decision-making.
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A community post showcasing Jev's ability to rank exam questions by likelihood of appearing on real tests within 80 seconds.
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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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Automates email categorization of 63,045 emails in under 3 minutes at low cost.
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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A tool that finds local makers using Jev, claiming high accuracy.
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Zod validates the shape, Jev validates the meaning: semantic checks on request bodies become calibrated probabilities you threshold in code.
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Reimagined window switcher for macOS using frontier artificial intelligence. Predicted by TypeSafe's Jev model.
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Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.
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