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.
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 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詳しく見る ↗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詳しく見る ↗Four official signals. A fresh starting point on each visit.
349 件の資料
AI-assisted summaries and translations. Check original sources for context and performance claims.
Utilizes Jev for quick coaching support and detecting and fixing slop during sessions.
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A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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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 challenge where 100 builders used Jev and Fable 5.1 to create a post scheduler, highlighting Jev's speed.
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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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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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Jevはセキュリティパイプラインの効率を向上させ、コストを5倍削減し、処理を高速化しながら、より高い精度を維持。

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A real-time tool to analyze and categorize tweets for viral potential.
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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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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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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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A chess experiment where Jev V13 makes decisions against advanced language models.
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A community post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
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A community reference exploring how Jev perceives toxic content, with limited detailed analysis.
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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 project using Jev to enable fast voice-controlled interactions with a Mac computer.
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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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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 community reference describing real-time generation of game levels for game development.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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An open-source model for form-filling tasks with low latency.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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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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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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An ad blocker extension using AI for real-time classification and removal of ads.
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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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Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems.
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Jev is used to identify and flag low-quality text generated by Opus.
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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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Jev semantically formats spreadsheets instantly, with suggestions for integration into other platforms.
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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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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詳しく見る ↗Source-linked curation
A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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A user creates music by giving real-time voice commands to Jev.
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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A community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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An experimental trading system using defined rules and Jev for decision-making.
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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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A community project uses Jev to detect AI-generated text, providing real-time sentence-by-sentence analysis.
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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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Jev successfully played and won a match in the game Clash Royale.
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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 4-minute video explaining what Jev is and its limitations.
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Framework for running end-to-end tests with agents using Jev.
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A log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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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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A community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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A community post describing an autonomous driving system using Jev to process real-time environmental data.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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A tool developed using Jev to create a voice builder for Youform, noted for its speed.
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Automates email categorization of 63,045 emails in under 3 minutes at low cost.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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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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Real-time League of Legends win-probability overlay using Jev to analyze game state and predict outcomes.
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A community post demonstrating Jev playing Flappy Apex, achieving a high score autonomously through Appduct and Fable.
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A tool that finds local makers using Jev, claiming high accuracy.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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