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.
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查看專案 ↗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查看專案 ↗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.
Four official signals. A fresh starting point on each visit.
1,198 項資源
AI-assisted summaries and translations. Check original sources for context and performance claims.
Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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Integration of Jev into a game for fast and cost-effective performance.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.

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A developer project for agent classification and selective reading using an agent plugin and MCP tool.

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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.

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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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A community project using Jev to customize Hacker News content preferences.
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A developer created an instant calorie tracking app using Jev for quick responses.
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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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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.

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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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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.

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Jev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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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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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.

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Jev is used to identify and flag low-quality text generated by Opus.
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A predictive app launcher using Jev to interpret user intent and enhance app discovery.
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Jev generates 100 images from sources like NASA and The Met based on a single prompt.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.
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A Brave extension that scores posts for logical fallacies in real time, highlighting well-reasoned content with a green flag.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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Jev selects legal moves in a game of chess, compared to reasoning models.

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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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A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
github.comFrank-ZY-Dou/awesome-jev查看專案 ↗Source-linked curation
Jev controls live 3D character expressions with real-time decision-making.
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Tool for systematic reviewers to extract information from research articles efficiently.
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Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.

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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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Integrates Jev into apps for smart autofill features improving user experience.
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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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A tested resource evaluating Jev's capabilities in browser automation and support tasks.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.

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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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A GitHub Action using Jev for automated PR triage and classification.

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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.

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A tool that improves end-to-end testing efficiency, completing tasks faster and cheaper than other models.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.

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Detects low-quality content in real-time as users scroll.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.

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A real-time tool to analyze and categorize tweets for viral potential.
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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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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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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 post about humor management on a social platform.
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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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Using Jev on Cloudflare Workers to improve search and content tagging efficiency on keep.md.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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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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使用Jev,TypeSafe AI的System One模型所建構的專案精選清單。

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A setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.

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A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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An agent system that makes one Jev decision per computational step.

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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.

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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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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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A community post describing adaptive in-app support using Jev to provide real-time assistance based on user struggles.
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A collection of research papers and open reproductions supporting System One models.

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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.

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A developer project for the games shelf, where Jev improvises piano with proper questions.

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Jev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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A real-time computer assistant using Jev and local Whisper to process voice input, classify actions, and interact with the screen through a Swift app for accessibility.
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A community reference describing real-time generation of game levels for game development.
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