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.
A FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
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 everyoneVedi progetto ↗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 useVedi progetto ↗TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Four official signals. A fresh starting point on each visit.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev autonomously controls multiple characters in a video game with rapid decision-making.
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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 assists a Mac app by selecting relevant support articles from built-in documentation.
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100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One.

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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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A livestream analyzing Jev's architecture for JSON-predicting models.
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A guide on using Jev to route between models and block risky tool calls.

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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 classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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Framework for running end-to-end tests with agents using Jev.
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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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Elenco curato di progetti basati su Jev, modello System One di TypeSafe AI per decisioni strutturate.

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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 describing an autonomous driving system using Jev to process real-time environmental data.
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A mahjong coach that uses Jev to suggest tiles to discard in Japanese.

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A Chrome extension that organizes bookmarks using user-defined rules for categorization.

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

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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.

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Port Elixir sicuro dal punto di vista tipico dell'SDK ufficiale TypeScript AI (ai / ai-sdk), che fornisce integrazioni LLM unificate, testo in streaming e output strutturati, chiamate di strumenti e flussi di lavoro agenziali. Jev è il loro modello di punta e il primo modello System One.
github.comnshkrdotcom/typesafe_sdkVedi progetto ↗Source-linked curation
A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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Observe the accessibility tree, Jev chooses the next action, Stagehand executes.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.

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A tool for calibrating Jev's confidence thresholds, presented as an open-source solution.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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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 dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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A free AI tool built on Jev that quickly scans text for low-quality content, processing around 10,000 words in 2 seconds.
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A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.

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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 focus group experiment using Jev to make scroll or stop decisions on ads.
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Jev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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A Chrome Dino game implementation where Jev provides real-time decision scores.
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A developer created an instant calorie tracking app using Jev for quick responses.
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Jev identifies and manages marketing messages in Android notifications without content deletion.

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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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Jev predicts upcoming shell commands by analyzing historical command data.
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A community experiment using Jev to analyze social media posts and determine effective content strategies.
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A chess experiment where Jev V13 makes decisions against advanced language models.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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Route to the cheapest model in claude code for your task using jev-router.

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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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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.

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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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Integration of Jev into a game for fast and cost-effective performance.
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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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SuperX integrato con Jev consente una valutazione rapida dei post, analizzando 61 domande per post in meno di un secondo con alta accuratezza nella previsione del potenziale virale.
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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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An experimental trading system using defined rules and Jev for decision-making.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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Compact version of Jev that generates full probability distributions in a single forward pass.
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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 community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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A Go client for the TypeSafe API, aimed at developer tools and applications.

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A tool that processes trading signals to generate intelligent decisions, enhancing system responsiveness.
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A method for creating pixel art through iterative sketching and refinement using Jev and DeepSeek.
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Jev selects legal moves in a game of chess, compared to reasoning models.

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An ad blocker extension using AI for real-time classification and removal of ads.
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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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A speech analysis tool that evaluates 30-second speeches for pauses, filler words, and confidence, providing feedback for improvement.
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A tool that provides quick actions based on clipboard content, specifically for macOS.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A resource discussing a new model type that outperforms LLMs in specific areas, collected for the tools shelf.
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Using Jev to create Clay workflows instantly, leveraging its capabilities for rapid development.
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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.

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