Jev opens to everyone
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 everyoneVer proyecto ↗A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
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 everyoneVer proyecto ↗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 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 useVer proyecto ↗Four official signals. A fresh starting point on each visit.
1198 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.

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Un planificador de consultas basado en Jev optimiza el rendimiento de Postgres, logrando una mejora del 12% en benchmarks de orden de unión mediante ajustes.
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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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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.
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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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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 post testing Jev's performance in a browser environment, noting limitations after five actions.
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JevForm creates adaptive forms that change based on user input meaning rather than fixed if-then logic.
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A GitHub Action using Jev for automated PR triage and classification.

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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.

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Jev successfully played and won a match in the game Clash Royale.
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Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.

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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
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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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A guide explaining Jev's approach to making typed decisions rather than processing text.

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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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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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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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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.

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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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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.
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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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A community post describing control of a simulated fly.
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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 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.

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A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
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Detects low-quality content in real-time as users scroll.
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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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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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A community post shares a tech talk by Jev's founder, highlighting its speed, cost-effectiveness, and lack of hallucination.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.

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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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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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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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Jev powers a predictive launcher that anticipates user intent based on typing patterns.
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A logic interpreter uses plain English to enable Jev to perform reasoning tasks it cannot handle alone.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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Ultra-fast model routing using Jev for agent-based systems.

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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 useVer proyecto ↗Source-linked curation
An open-source model for form-filling tasks with low latency.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.

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Demonstration of Jev's capability for rapid variable generation in development workflows.
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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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Jev is used to predict human moves in a rock-paper-scissors game.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.

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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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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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A community tool allowing Jev to make decisions through command-line interactions for agent systems.

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Jev conducts a sentiment-based stock market analysis for the Danish market in 2025, using diverse data sources with low cost.
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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 guide exploring Jev's architecture through 10,000 API calls.

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A community post describes using Jev to analyze news for stock investment opportunities.
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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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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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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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Jev is used to identify and flag low-quality text generated by Opus.
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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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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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A developer project for the games shelf, where Jev improvises piano with proper questions.

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A macOS app that automatically organizes downloaded files using rules.
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An agent project aimed at reducing token usage for coding agents via an MCP server.

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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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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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A community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.

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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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