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.
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 use查看项目 ↗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 everyone查看项目 ↗Four official signals. A fresh starting point on each visit.
1,198 项资源
AI-assisted summaries and translations. Check original sources for context and performance claims.
A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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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 React app that estimates an age range based on a Korean name, described as a developer tool.

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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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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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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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An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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官方可替换TypeSafeClient的Python适配器,支持OpenAI、Anthropic和兼容LLM API,用于比较Jev与聊天模型。
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Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.

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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.

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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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A community test comparing Jev's performance against GLM 5.3 in a chess game, highlighting speed and cost efficiency.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.

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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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A smart calculator notebook capable of performing various calculations using Jev's processing power.
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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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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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Jev offers versatile use cases, with a community post suggesting potential for rapid SaaS growth.
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A community post providing a tutorial on Jev, including demos for browser control and AI memory.
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Jev plays Tetris by making real-time decisions to move blocks.
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Integration of Jev into a game for fast and cost-effective performance.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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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 plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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A guide explaining three types of micro decisions used by Jev AI.
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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 resource explaining Jev's capabilities, limitations, and applications as a System One model.

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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.

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Context curator for Pi agent using Jev technology.

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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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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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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 analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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askjev.ai. A community post describing a platform where users can ask questions to Jev, which provides judgments rather than direct answers.
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A local Jev model for processing tasks with potential for improved speed.
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Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.

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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.

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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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A community tool that filters work-in-progress todos based on semantic meaning, not just keywords.
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基于Jev的查询规划器优化Postgres性能,在连接顺序基准测试中实现12%的速度提升。
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.

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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.

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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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An experiment using Jev for real-time model selection in AI agents, collected for the agents shelf.
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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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A social media feed optimized using user bookmarks and Jev's analysis.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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A community guide outlining 10 steps to implement Jev for faster decision-making in AI agent systems.
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A guide on using Jev to route between models and block risky tool calls.

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Directory of Jev-based projects including repositories, SDKs, and benchmarks.

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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.

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Agentcard integrates Jev and Kernel to enable secure and efficient online shopping by agents, avoiding token costs and safety issues.
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Tutorial covers API setup and building prototypes with Jev and LLMs.
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A tool using Jev to make copy-paste interactions smarter by deciding content based on context.
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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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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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An agent project that enforces policies by judging Claude Code tool calls.

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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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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.
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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.
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基于Jev的项目精选列表,TypeSafe AI的System One模型用于类型化决策。

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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 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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A project comparing Jev's performance against chat models in analyzing Fed press conferences.

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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.

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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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