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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Лучшее о Jev: реальные проекты, практические руководства и идеи со всего интернета.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTДиогу Алмейда представляет Jev, структурированную модель принятия решений TypeSafe. Посмотрите фильм о запуске и изучите оригинальный тред для подхода модели, примеров и отчетов автора о производительности.
TypeSafe AI@typesafeaiOFFICIALОфициальное объявление запуска TypeSafe знакомит с лабораторией и направляет разработчиков к Jev. Включает фильм о запуске Диогу Алмейды и оригинальное введение.
TypeSafe AI@typesafeaiOFFICIALTypeSafe объявляет о публичном доступе к Jev без списка ожидания. Официальный консоль — это отправная точка для тестирования типизированных решений в собственном приложении.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe подчеркивает подход Jev с типизированным выводом: приложения предоставляют состояние и вопросы, затем действуют на основе вероятностей, выборов или оценок. Связанное объявление также касается интеграции API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
378 материалов
AI-assisted summaries and translations. Check original sources for context and performance claims.
Ультраскоростной агент для браузера: Jev выбирает операцию и элемент DOM за один запрос; небольшой ОЯ пишет текст только при необходимости ввода.
JEVLAB ART
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Плагин Claude Code, который заменяет резюме компакции решениями Jev: каждая инструкция и результат оцениваются за один быстрый запрос, устаревшие данные удаляются или обрезаются, все остальное сохраняется без изменений.
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A resource explaining Jev Engineering methodology for AI agent development.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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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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Kun ChenAn agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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RomànA community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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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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x.comA collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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tamaraEnables instant compaction by scoring and filtering tool calls efficiently.
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Context curator for Pi agent using Jev technology.
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Starchild uses Jev for real-time prompt classification, reducing costs by 20x and increasing speed by 6x with average processing time of 140ms.
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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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Pierre-Eliott LallemantJev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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AI Builder ClubJev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Proof of concept MCP for Typesafe's new Jev AI model.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Route to the cheapest model in claude code for your task using jev-router.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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x.comExplains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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aresA claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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A developer project for agent-native routing that selects models based on task complexity.
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Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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x.comTesting Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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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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Detects low-quality content in real-time as users scroll.
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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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Matthew BermanA focus group experiment using Jev to make scroll or stop decisions on ads.
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x.comA plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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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 that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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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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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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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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CuaAn open-source model for form-filling tasks with low latency.
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0xLogicrwThread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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Riley BrownA community project describes an agent system that uses Jev to route requests to appropriate models.
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jaffaA content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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Ira BodnarJev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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PauliusA system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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Sawyer HoodJev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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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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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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Andy GaoA project using Jev to enable fast voice-controlled interactions with a Mac computer.
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Niaz MorshedAn experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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x.comA community post providing a tutorial on Jev, including demos for browser control and AI memory.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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Использование компьютера за $0.0002 за шаг: сканируйте экран, классифицируйте следующее действие с помощью TypeSafe, нажмите. macOS.
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AgentRun leverages Jev for creating self-sufficient agent workflows.
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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 Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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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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RaZaanA Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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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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A community post about humor management on a social platform.
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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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An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Mormon NegroAn agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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ClineA plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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Self-improving agent harness with an optional TypeSafe Jev companion for typed Choice, Score, and Noul judgments.
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Idan LevinJev 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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4 HIGHLIGHTS
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Agents & browsers
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