A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
TypeSafe AI@typesafeaiOFFICIALEl anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe AI@typesafeaiOFFICIALTypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
286 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
Agente ultra rápido para uso en navegador: Jev selecciona la operación y el elemento DOM en una sola solicitud; un pequeño LLM solo escribe texto cuando es necesario.
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Plugin de Claude Code que reemplaza el resumen de compresión con decisiones Jev, evaluando cada llamada de herramienta y resultado en una sola solicitud rápida, descartando o truncando los datos obsoletos.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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 developer project where Jev assists in browsing by selecting actions, with an LLM planning and citing sources.
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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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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 deterministic model routing system for coding agents with a skill for Codex.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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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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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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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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OCR de la pantalla, clasificación de la próxima acción con TypeSafe, clic. macOS.
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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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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 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 Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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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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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.
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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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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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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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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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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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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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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 using Jev for plain-language MCP tool calls without an LLM.
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Decision layer for coding agents: deterministic rules before any model call, then one Jev request, as a Claude Code PreToolUse hook, an MCP server, a loopback service and a team policy that personal overrides can tighten but not loosen. Ships the 300-call injection kit behind its own numbers.
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MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.
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Rule-based slop grader for text files powered by Jev: evaluates markdown against customizable rulesets, outputting violation flags and scores for an AI agent to auto-fix.
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Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
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Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook.
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Code quality and test coverage for coding agents: Jev scores each source file so the agent knows what to fix first.
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A moderation system for Mastra agents that processes inputs in a single file.
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Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response.
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RuneBench harness for TypeSafe's Jev: bounded action catalog, tick-mode controller and a live dashboard.
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Jev for Chrome: drives the tab you are looking at with TypeSafe Jev, a sub-second decision model. Community port of browser-use/jev-ultrafast, not affiliated with TypeSafe.
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Jev-powered semantic browser use.
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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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Select Git changes for staging with a plain-language description.
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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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Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench.
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Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter.
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Input moderation for Mastra agents on TypeSafe Jev — one file.
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Browser automation with Jev (TypeSafe) as decision model.
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Chrome-devtools-mcp plus one tool: Jev walks the browser to the right spot, then your agent makes a single devtools call there.
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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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MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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Browser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev).
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用 TypeSafe Jev 推荐已安装 Skill / Bounded installed-skill recommendations with TypeSafe Jev. Python CLI, Codex skill, bilingual docs and live examples.
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An agent system that makes one Jev decision per computational step.
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Grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
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Runtime authorization and guardrails for AI-agent tool calls with deterministic policy and TypeSafe Jev via OpenRouter.
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A developer project integrating Jev for judgment tasks within DeepSeek Harness.
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Every code file in a pull request, judged against Uncle Bob's Clean Code by TypeSafe's Jev, then reviewed by Luna. Built on eve and Next.js.
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Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
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Jev (TypeSafe) model router on the Vercel AI Gateway.
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Jev-powered model-judged permission gate for OMP (TypeSafe System One).
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Validated enhancement pack for MiniMax Code CLI on arm64 DGX Spark + local GLM-5.3-EXL3: TUI scrollbar + context-meter patches, compaction repair for local vLLM, Jev Ultrafast + Playwright MCP browser integration, real usage ledger.
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Filter command output for coding agents using a task description.
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Chrome extension that labels every post on X (Substance · Humor · Chit-chat · Promo · Junk · AI-written) with TypeSafe Jev, and hides the ones you don't want.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model).
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Uses typeful jev, zero sync to pull and sync large repositories for issue triage.
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Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.
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Connect JEV to MCP clients and compare its judgments against general-purpose LLMs using shared datasets and measurable accuracy.
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A GitHub project implements a web search tool where Jev selects sources for plain-language queries.
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4 HIGHLIGHTS
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Agents & browsers
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