A FIELD GUIDE TO JEV / VOL. 01
Le meilleur de Jev : projets concrets, guides pratiques et idées du web.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida présente Jev, le modèle de décision structuré de TypeSafe. Regardez le film de lancement et explorez le fil original pour découvrir l'approche du modèle, des exemples et les performances rapportées par l'auteur.
TypeSafe AI@typesafeaiOFFICIALL'annonce officielle du lancement de TypeSafe présente le laboratoire et oriente les développeurs vers Jev. Elle inclut le film de lancement de Diogo Almeida et son introduction originale.
TypeSafe AI@typesafeaiOFFICIALTypeSafe annonce l'accès public à Jev sans liste d'attente. La console officielle est le point de départ pour tester les décisions typées dans votre propre application.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe met en avant l'approche de sortie typée de Jev : les applications fournissent l'état et les questions, puis agissent sur les probabilités, les choix ou les scores. L'annonce liée couvre également l'intégration de l'API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
286 ressources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Agent ultra-rapide pour navigateur : Jev sélectionne l'opération et l'élément DOM en une seule demande ; un petit modèle de langage n'écrit du texte que lorsqu'il est nécessaire.
JEVLAB ART
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Plugin Claude Code qui remplace le résumé de compaction par des décisions Jev : chaque appel d'outil et résultat est noté en une seule requête rapide, les anciens sont supprimés ou tronqués, tout ce qui est conservé reste tel quel.
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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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Proof of concept MCP for Typesafe's new Jev AI model.
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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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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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An agent project that enforces policies by judging Claude Code tool calls.
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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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A developer project that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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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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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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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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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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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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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 developer project for agent-native routing that selects models based on task complexity.
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An agent system that makes one Jev decision per computational step.
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A GitHub project converting agent skills into Oxlint plugins that involve 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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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 offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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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Route to the cheapest model in claude code for your task using jev-router.
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An awesome collection of Jev use cases, workflows, and agent skills.
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Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
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Hybrid coding harness: System 2 writes, System 1 (Jev) runs reflexes.
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Pi extension: verbatim context compaction with TypeSafe Jev decisions.
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Jev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking.
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2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
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Jev-powered model-judged permission gate for OMP (TypeSafe System One).
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Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools.
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I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
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A local computer-use fast path for Codex and Waku, designed for developers.
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Bounded exploratory browser testing with Jev, deterministic assertions, and replayable evidence.
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Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels.
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Prompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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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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TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate.
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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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Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.
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TypeScript browser agent for ego lite: Jev Ultrafast indexed actions, TypeSafe Jev decisions, persistent observe/act CLI. No Chrome or Playwright.
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Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning).
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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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 developer project providing a second MCP server for Jev from the PyModel initiative.
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Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples.
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A Jev browser agent implemented in Go, connected to a real Chrome browser for agent-based tasks.
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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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A developer project focused on agent memory, where Jev determines what information is relevant to recall.
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The first general-purpose System One agent for Jev.
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Predict another skill's next closed decision with TypeSafe Jev — without running that skill.
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Claude Code Stop hook that checks an AI assistant's claims against what it actually read this session, using TypeSafe's Jev as the judge.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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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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Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history.
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Safety checks for Hermes and other AI agents before they act, ask for approval, or verify a change.
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CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.
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A lightweight Jev-powered router for models, tools, and subagents.
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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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Jev-powered browser MCP for LLM agents — ~300ms decisions, no LLM tokens in the loop. Benchmark vs Playwright MCP included.
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Experimental decision protocol whose Jev adapter evaluates framed evidence with typed choices, while application code validates permissions and commits simulated demo actions.
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Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn.
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Outil en ligne de commande pour le modèle Jev de TypeSafe AI. Posez des questions oui/non, à choix multiples et à rubrique à tout texte et obtenez des probabilités calibrées en retour. Les réponses deviennent des codes de sortie pour les shells et CI, du JSON pour les scripts, et des outils MCP pour les agents IA.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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Cost-aware LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
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4 HIGHLIGHTS
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Agents & browsers
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