Jev 런치 포스트
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
A FIELD GUIDE TO JEV / VOL. 01
인터넷 곳곳의 Jev 프로젝트, 실용적인 가이드와 놀라운 아이디어를 한곳에서.
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
TypeSafe가 스텔스 모드를 마치고 Jev를 공개했습니다. Diogo Almeida의 런치 영상과 소개 스레드로 이어지는 공식 발표입니다.
TypeSafe가 대기 목록 없는 Jev 공개 접근을 발표했습니다. 공식 콘솔에서 앱에 사용할 구조화된 판단을 시작할 수 있습니다.
TypeSafe가 Jev의 구조화된 출력을 소개합니다. 앱의 상태와 질문을 전달하면 확률·선택지·점수로 응답하며, 연결된 발표에서 Venice API 통합도 확인할 수 있습니다.
Launch Post부터 시작하세요. 공식 원문 4편을 살펴볼 수 있어요.
1,198 개 자료
요약·번역에 AI를 활용합니다. 원문과 성능 주장은 출처에서 확인하세요.
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 developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A gaming project enabling seamless switching between manual and AI-driven gameplay using Jev.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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Jev reviews pull requests with 14 automated checks, detecting issues like hardcoded secrets and SQL patterns.
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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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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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Jev is used to identify and flag low-quality text generated by Opus.
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Jev attempted to draw on a pixel canvas but failed to produce recognizable output, indicating limitations in its generative capabilities.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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A tool that provides quick actions based on clipboard content, specifically for macOS.
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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 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 post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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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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A Go client for the TypeSafe API, aimed at developer tools and applications.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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A community post describes an A/B test using Jev to analyze 4,000 demographic profiles, demonstrating its speed in processing and evaluating content.
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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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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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A Jev-compatible public API using an open model for fast parallel processing.
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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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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
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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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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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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 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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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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Framework for running end-to-end tests with agents using Jev.
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A small, extensible decision-to-action harness for TypeSafe Jev.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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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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Ephraim Duncan's demo where Jev decides which model should serve a request.
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A guide explaining three types of micro decisions used by Jev AI.

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Observe the accessibility tree, Jev chooses the next action, Stagehand executes.
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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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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 predictive app launcher using Jev to interpret user intent and enhance app discovery.
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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 is HERE. How to use it. A resource explaining how to access Jev through the Vercel AI Gateway and its potential business applications.

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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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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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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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Fazt presenta las decisiones estructuradas de Jev con ejemplos de Snake y clasificación de solicitudes de soporte.

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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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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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A tool that monitors user interactions and intervenes only when it detects confusion or difficulty, using Jev to determine appropriate responses.
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A community project embedding three Jev-powered bots into a first-person shooter game.
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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 dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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macOS에서 화면 OCR 및 TypeSafe로 다음 작업 분류 후 클릭하여 약 $0.0002의 비용으로 컴퓨터를 사용합니다.
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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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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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A community post describing adaptive in-app support using Jev to provide real-time assistance based on user struggles.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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