The Jev launch post
Diogo Almeida introduces Jev, a structured decision model from TypeSafe. This resource provides an overview of the model's core approach, practical examples, and performance metrics as reported by the author.
A FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo Almeida introduces Jev, a structured decision model from TypeSafe. This resource provides an overview of the model's core approach, practical examples, and performance metrics as reported by the author.
TypeSafe officially launches its research lab and introduces Jev to the developer community. This announcement features a launch film by Diogo Almeida and provides foundational context for the project's mission and future direction.
TypeSafe has removed the waitlist for Jev, allowing public access to the platform. Developers can use the official console to integrate and test typed decision-making capabilities within their own software applications.
TypeSafe highlights Jev’s typed-output approach, where applications provide state and questions to receive structured probabilities, choices, or scores. The announcement also details the integration of the Venice API for developers.
Start with the Launch Post. Explore four official signals.
1,262 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
This project demonstrates an implementation of Jev for intelligent skill routing within an agent-based architecture. It showcases how community-driven development patterns can be applied to manage task distribution and decision-making processes in autonomous systems.
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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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Jev HOLDFIT 43%CAT 50%
A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
Jev HOLDFIT 14%CAT 95%
A community post exploring Jev's behavior in a game of Catan, where multiple Jevs struggle with negotiation.
Jev HOLDFIT 59%CAT 97%
This project demonstrates a workflow for generating pixel art by utilizing a sketch-and-refine loop. It showcases how Jev and DeepSeek can be integrated to iteratively improve digital illustrations through automated feedback cycles.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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Jev HOLDFIT 62%CAT 68%
This project demonstrates a text generation system built on Jev. It utilizes a classifier within an autoregressive loop to produce output one character at a time, showcasing a granular approach to language modeling.
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pi-heed provides runtime constraints for the pi coding agent. It demonstrates a safety mechanism that verifies side-effecting tool calls against user intent before execution, utilizing TypeSafe Jev to enhance operational control during automated coding tasks.
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This project demonstrates an automated system designed to analyze news articles and suggest relevant content for brands. The creator claims the tool provides an efficient and cost-effective method for identifying media opportunities.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
Jev HOLDFIT 20%CAT 58%
An unofficial Laravel package offering typed responses and test fakes for Jev integration.
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Jev HOLDFIT 70%CAT 52%
This repository provides an evidence-based map of Jev performance, utilizing actual API-call receipts to document operational successes and failures. It serves as a practical resource for understanding system reliability through empirical data rather than leaderboard rankings.
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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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This experiment evaluates Jev's performance in solving pathfinding tasks by comparing its output against traditional A* algorithm results. It serves as a practical demonstration of how Jev handles grid-based navigation problems in a controlled environment.
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YouWare is a recruitment tool designed to automate the evaluation of job applications. The developer claims the system can process 360 résumés in under 25 seconds while providing automated scoring for candidates.
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This guide demonstrates how to integrate Jev into LangChain workflows to route requests between different models. It specifically focuses on implementing safety measures to identify and block potentially risky tool calls during execution.
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This demonstration showcases Jev playing Flappy Apex independently. The creator claims the agent achieves high scores autonomously by utilizing Appduct and Fable frameworks to navigate the game environment without manual input.
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This project demonstrates a minimal Telegram anti-spam bot built using the grammY framework and TypeSafe Jev. It serves as a practical example of implementing automated moderation tools within the Jev ecosystem.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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This community-driven project utilizes Jev to analyze and refine combat techniques. It serves as a digital training assistant for players looking to improve their performance through systematic feedback on fighting mechanics.
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This repository provides runnable examples for implementing Jev using OpenRouter. It serves as a practical resource for developers looking to integrate type-safe decision-making workflows into their applications through direct, hands-on code demonstrations.
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This project explores using Jev as an automated quality gate for draft content. The author reports challenges regarding system communication and integration, highlighting the practical difficulties of implementing AI-driven editorial oversight in a writing workflow.
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This guide provides developers with a technical overview of implementing the Jev System One model. It outlines practical integration steps and usage patterns for leveraging TypeSafe's architecture in software development workflows.
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This community tool uses Jev to automatically identify and filter unwanted reply-guy comments on social platforms. It demonstrates a practical application of automated content moderation to improve user interaction quality by filtering specific types of unsolicited responses.
Jev HOLDFIT 53%CAT 73%
This library provides an idiomatic, type-safe Elixir port of the TypeScript AI SDK. It enables unified LLM integrations, streaming text, structured outputs, and tool calling, while supporting agentic workflows using the Jev model.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
Jev HOLDFIT 57%CAT 99%
This video guide demonstrates how to utilize the Jev architecture to construct various software applications. It provides a practical overview of the development workflow and capabilities available within the Jev ecosystem for creators.

Jev HOLDFIT 42%CAT 49%
This project showcases a virtual town simulation where Jev autonomously manages 120 residents and local infrastructure. The creator demonstrates how automated decision-making systems can govern complex community interactions within a digital environment.
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A command-line interface for Jev that provides answers and exit codes based on input questions.
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This framework provides a structured approach for AI coding agents to utilize TypeSafe Jev System One for typed decision-making. It demonstrates how developers can integrate formal type safety into automated software development workflows.
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This project features an MLP trained on the Qwen 4B model to provide a typesafe alternative to Jev. It demonstrates how specialized architectural training can be applied to existing language models to achieve specific functional parity.
Jev HOLDFIT 23%CAT 65%
A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
Jev HOLDFIT 67%CAT 41%
This project demonstrates the application of Jev to facilitate rapid searching within physical library indexes. It explores how semantic search techniques can be utilized to navigate and retrieve information from traditional, non-digital cataloging systems.
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This project demonstrates a voice-controlled interface for macOS using Jev. It aims to facilitate rapid computer interaction through spoken commands, showcasing a practical application of agentic workflows for desktop navigation and task execution.
Jev HOLDFIT 59%CAT 44%
This project demonstrates a chat bot built with Jev that operates without a large language model. It provides immediate responses by directly integrating external tools like web search, Wikipedia, and weather data services.
Jev HOLDFIT 63%CAT 92%
A collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
Jev HOLDFIT 55%CAT 52%
One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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This GitHub Action utilizes Jev to automate the triage and classification of pull requests. It demonstrates how developers can integrate automated decision-making workflows directly into their repository management processes to streamline code review tasks.
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This React-based developer tool attempts to predict age ranges associated with specific Korean names. It functions as an experimental utility for analyzing naming trends and demographic patterns within the Korean language context.
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Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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Jev HOLDFIT 58%CAT 72%
Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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This resource explores Jev, a system designed for natural language processing that utilizes structured outputs and confidence scoring. It clarifies that Jev functions differently from traditional large language models, highlighting specific operational trade-offs for developers.

Jev HOLDFIT 50%CAT 68%
Jevinci is a developer tool that generates digital paintings by applying Jev pixel probability calculations. This project demonstrates how algorithmic probability models can be utilized to create visual art compositions within a programmatic framework.
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This experiment explores pixel-level image generation by utilizing parallel decision-making processes. It demonstrates a novel approach to constructing digital visuals through iterative, granular choices rather than traditional rendering methods.
Jev HOLDFIT 20%CAT 74%
This resource demonstrates seven automated workflows for Jev, focusing on search engine and geographic optimization. It covers practical tasks like competitor page analysis, citation likelihood assessment, and content optimization strategies for digital marketing professionals.
Jev HOLDFIT 53%CAT 56%
A community post about rebuilding the X algorithm with Jev to simulate post virality and global feed.
Jev HOLDFIT 53%CAT 44%
Diogo Almeida introduces Jev, a structured decision model from TypeSafe. This resource provides an overview of the model's core approach, practical examples, and performance metrics as reported by the author.
Jev PASSFIT 78%CAT 95%
A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
Jev HOLDFIT 63%CAT 79%
This open-source project introduces a routing mechanism for Claude Code. It demonstrates how to prioritize frequently used skills through Jev integration to improve task selection efficiency.
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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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This resource demonstrates how Box utilizes Jev to automate incident triage. It shows the system processing inputs to return boolean classification results alongside associated probability scores for improved operational decision-making.
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This podcast segment explores the conceptual link between Jevons paradox and the funding model behind TypeSafe AI. It provides an overview of how these economic principles relate to the development and sustainability of modern artificial intelligence projects.

Jev HOLDFIT 19%CAT 75%
askjev.ai is a platform where users submit inquiries to Jev. The system is designed to provide evaluative judgments on topics rather than offering direct, factual answers to user questions.
Jev HOLDFIT 42%CAT 76%
A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
Jev HOLDFIT 14%CAT 40%
A community project using Jev to customize Hacker News content preferences.
Jev HOLDFIT 47%CAT 44%
This project features a real-time Tetris implementation where Jev-based agents compete against other AI models. It demonstrates game logic integration and multi-agent interaction within a competitive environment.
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Jev attempted to draw on a pixel canvas but failed to produce recognizable output, indicating limitations in its generative capabilities.
Jev HOLDFIT 69%CAT 81%
This official TypeSafe resource provides a structured guide for implementing skill suggestion mechanisms within AI agents. It demonstrates how to dynamically recommend relevant capabilities to users to enhance interaction efficiency and task completion.
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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 PASSFIT 72%CAT 100%
This repository provides a skill set for developers to write and refine programs that interact with Jev, the System One model from TypeSafe. It serves as a practical guide for integrating model calls into software workflows.
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A fire evacuation simulation where each person makes Jev-style decisions.
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Jev HOLDFIT 34%CAT 81%
This project demonstrates a live Bluesky feed integrated with real-time emotion detection. It showcases an experimental approach to social media interaction by automatically matching user avatars to the detected sentiment of their posts.
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This demonstration showcases an agent utilizing Ego Lite and Jev to perform rapid product evaluations. The creator claims the system completes twenty distinct shopping assessments in under four seconds.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
Jev HOLDFIT 66%CAT 61%
Jev identifies and manages marketing messages in Android notifications without content deletion.
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Jev HOLDFIT 45%CAT 40%
This project provides a standalone Android agent framework where Jev handles decision-making processes. It includes a live React studio environment and demonstrates automated interaction capabilities through an Uber-themed application demo.
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A chess experiment where Jev V13 makes decisions against advanced language models.
Jev PASSFIT 72%CAT 91%
This agent plugin utilizes Jev to identify optimal moments for session compaction. It aims to assist developers in managing context more efficiently by providing automated guidance on when to consolidate session data.
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This project demonstrates a voice-controlled web browser using Jev to interpret user intent. It integrates with Playwright to execute navigation commands, aiming for low-latency interaction by processing spoken input to trigger browser actions in real time.
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PlayJev demonstrates a 0.8B parameter model capable of playing ten browser games. The system operates by calculating move probabilities in a single forward pass without generating text, showcasing a specialized approach to game-playing agents.
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This repository provides a method for batched single-token choice inference designed for open language models. It demonstrates integration compatibility with TypeSafe, offering a structured approach to handling token-level decision processes in generative AI workflows.
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