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.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
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 announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
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.
Start with the Launch Post. Explore four official signals.
349 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
A user creates music by giving real-time voice commands to Jev.
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A smart calculator notebook capable of performing various calculations using Jev's processing power.
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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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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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A community experiment demonstrating Jev's interaction with a video game.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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A stock evaluation tool using Jev for fast market analysis.
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A tool that uses Jev to convert pointing and speech into drawing actions on a canvas.
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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 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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A live Bluesky feed with real-time emotion detection and user avatar matching.
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A game where Jev makes decisions to keep a city on a whale alive, integrated with GPT-6 Astra and H3 Max.
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Utilizes Jev for quick coaching support and detecting and fixing slop during sessions.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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A developer created an instant calorie tracking app using Jev for quick responses.
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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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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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Jev successfully played and won a match in the game Clash Royale.
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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 is a System One model on OpenRouter that provides decisions with probabilities.
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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 2-minute song composed by Jev-thoven using first principles.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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Jev predicts upcoming shell commands by analyzing historical command data.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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An MLP trained on Qwen 4B that functions similarly to Jev, offering a typesafe alternative.
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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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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AgentRun leverages Jev for creating self-sufficient agent workflows.
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A community project using Jev to customize Hacker News content preferences.
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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 community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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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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A community experiment demonstrating Jev's capability to function as a computer by emulating a 6502 processor.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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A community post describing an autonomous driving system using Jev to process real-time environmental data.
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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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Jev automates browser tasks by selecting actions from a dynamic action space.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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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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A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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Jev analyzes session replays to identify issues and generate bug fix PRs at low cost.
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SuperX integrated with Jev enables rapid post scoring, analyzing 61 questions per post in under a second with high viral potential prediction accuracy.
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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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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 MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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A community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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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 trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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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 community experiment using Jev as a plugin in Claude to reduce unnecessary tool calls, cutting token count from 1M to 86K.
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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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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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A social media feed optimized using user bookmarks and Jev's analysis.
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An ad blocker extension using AI for real-time classification and removal of ads.
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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 chess experiment where Jev V13 makes decisions against advanced language models.
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A focus group experiment using Jev to make scroll or stop decisions on ads.
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A community project for training a Jev-like architecture using a reverse-engineered model.
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A community post describing a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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Jev improves security pipeline efficiency, offering 5x cost reduction and faster processing while maintaining higher accuracy than smaller models.

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Detects low-quality content in real-time as users scroll.
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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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Screens 360 resumes in 24.2 seconds with low cost and automated scoring.
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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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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 local Jev model for processing tasks with potential for improved speed.
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