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Recent activityA FIELD GUIDE TO JEV / VOL. 01
O melhor de Jev: projetos reais, guias práticos e ideias de toda a internet.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida apresenta o Jev, o modelo de decisão estruturado do TypeSafe. Assistir ao filme de lançamento e explorar o fio original para o abordagem do modelo, exemplos e desempenho relatado pelo autor.
TypeSafe AI@typesafeaiOFFICIALO anúncio oficial de lançamento do TypeSafe apresenta o laboratório e direciona os desenvolvedores ao Jev. Inclui o filme de lançamento de Diogo Almeida e a introdução original.
TypeSafe AI@typesafeaiOFFICIALTypeSafe anuncia acesso público ao Jev sem lista de espera. O console oficial é o ponto de partida para testar decisões tipadas em seu próprio aplicativo.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe destaca a abordagem de saída tipada do Jev: aplicações fornecem estado e perguntas, depois atuam sobre probabilidades, escolhas ou pontuações. A anúncio vinculado também aborda a integração da API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
378 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
Agente ultra-rápido para uso no navegador: Jev seleciona a operação e o elemento DOM em uma única solicitação; um pequeno LLM escreve texto apenas quando necessário.
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Plugin de código Claude que substitui o resumo de compactação por decisões Jev, avaliando todas as chamadas de ferramentas e resultados em uma única solicitação rápida, descartando ou truncando os obsoletos.
JEVLAB ARTEnglishSource-linked curation
Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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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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Andy GaoA project using Jev to enable fast voice-controlled interactions with a Mac computer.
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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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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
JEVLAB ARTEnglishSource-linked curation
A staged code-review workflow and local dashboard built with 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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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 for agent-native routing that selects models based on task complexity.
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Detects low-quality content in real-time as users scroll.
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Matthew BermanJev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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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.
JEVLAB ARTEnglishSource-linked curation
A deterministic model routing system for coding agents with a skill for Codex.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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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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Matthew BermanA focus group experiment using Jev to make scroll or stop decisions on ads.
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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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Ultra-fast model routing using Jev for agent-based systems.
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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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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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Tutorial covers API setup and building prototypes with Jev and LLMs.
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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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x.comA collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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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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tamaraEnables instant compaction by scoring and filtering tool calls efficiently.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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A community post about humor management on a social platform.
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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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A tested resource evaluating Jev's capabilities in browser automation and support tasks.
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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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AteeqA log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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AgentRun leverages Jev for creating self-sufficient agent 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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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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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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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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A small agent using Jev compaction to manage searchable memory efficiently.
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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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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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CuaAn open-source model for form-filling tasks with low latency.
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OFICIALTypeSafe AIOfficial TypeSafe reference: Skill suggestion.
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Chandramouly KandacharJev controls both hands and fingers to play piano in real-time based on visual input.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.
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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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Milind SA system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
JEVLAB ARTEnglishSource-linked curation
x.comA community experiment using Jev as a plugin in Claude to reduce unnecessary tool calls, cutting token count from 1M to 86K.
JEVLAB ARTEnglishSource-linked curation
Agent makes rapid shopping decisions using Ego Lite and Jev. Completes 20 product evaluations in under 4 seconds.
JEVLAB ARTEnglishSource-linked curation
Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
JEVLAB ARTEnglishSource-linked curation
An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
JEVLAB ARTEnglishSource-linked curation
An agent project that enforces policies by judging Claude Code tool calls.
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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.
JEVLAB ARTEnglishSource-linked curation
A resource explaining Jev Engineering methodology for AI agent development.
JEVLAB ARTEnglishSource-linked curation
PauliusA system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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savA community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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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.
JEVLAB ARTEnglishSource-linked curation
Context curator for Pi agent using Jev technology.
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Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev).
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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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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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Local browser automation UI that uses TypeSafe Jev to choose bounded page actions and a text model only for field values.
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Jev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.
JEVLAB ARTEnglishSource-linked curation
Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning).
JEVLAB ARTEnglishSource-linked curation
Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev.
JEVLAB ARTEnglishSource-linked curation
Verbatim Jev-scored context reduction for omp, over TypeSafe or OpenRouter.
JEVLAB ARTEnglishSource-linked curation
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4 HIGHLIGHTS
TRADUZIDO
4 clicks / 7d
Agents & browsers
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