Jev 런치 포스트
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
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최근 활동 집계A 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.
378 개 자료
요약·번역에 AI를 활용합니다. 원문과 성능 주장은 출처에서 확인하세요.
도구 호출과 결과를 Jev로 평가해 오래된 문맥을 줄이고, 남길 정보는 원문으로 보존하는 Claude Code 플러그인입니다.
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Jev가 작업과 DOM 요소를 선택하고, 입력할 문장이 필요할 때만 작은 LLM이 텍스트를 작성하는 브라우저 에이전트입니다.
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Route to the cheapest model in claude code for your task using jev-router.
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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 offline decision system using Jev to evaluate research branches efficiently.
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A Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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A social media feed optimized using user bookmarks and Jev's analysis.
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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 that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
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macOS에서 화면 OCR 및 TypeSafe로 다음 작업 분류 후 클릭하여 약 $0.0002의 비용으로 컴퓨터를 사용합니다.
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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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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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Jev-Tool-Runner is a GitHub project where Jev selects developer tools and Codex generates code based on those selections.
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An agent system that makes one Jev decision per computational step.
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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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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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A resource explaining Jev Engineering methodology for AI agent development.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
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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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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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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 project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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Context curator for Pi agent using Jev technology.
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Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
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A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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Agent automates second-hand product search and decision-making. Processes 26 listings per minute with fast evaluation times.
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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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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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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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A focus group experiment using Jev to make scroll or stop decisions on ads.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Official TypeSafe reference: Skill suggestion.
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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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A moderation system for Mastra agents that processes inputs in a single file.
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A deterministic model routing system for coding agents with a skill for Codex.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy.
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A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
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A developer project using Jev for plain-language MCP tool calls without an LLM.
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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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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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Jev achieved 100% task success on the WebMCP benchmark with significantly lower model costs compared to other systems, using a combination of tool selection and argument generation.
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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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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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A small agent using Jev compaction to manage searchable memory efficiently.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Proof of concept MCP for Typesafe's new Jev AI model.
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Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.
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MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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An agent project aimed at reducing token usage for coding agents via an MCP server.
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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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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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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
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Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex).
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Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM.
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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