The Jev launch post
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
Start with the Launch Post. Explore four official signals.
378 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.
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Browser Use's ultrafast agent: Jev picks the operation and DOM element in one request; a small LLM only writes text when typing is needed.
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A log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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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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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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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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A community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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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 500 real-time agents operating in a 3D environment with notable performance metrics.
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A small agent using Jev compaction to manage searchable memory efficiently.
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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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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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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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A developer project providing a local MCP server for running pre-made Jev question packs.
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Framework for running end-to-end tests with agents using Jev.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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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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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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Jev was integrated with Claude Code to address context compaction challenges in agent workflows, showing promising results.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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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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Route to the cheapest model in claude code for your task using jev-router.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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 Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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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 guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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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 claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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Jev controls both hands and fingers to play piano in real-time based on visual input.
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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 prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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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 community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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A social media feed optimized using user bookmarks and Jev's analysis.
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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 community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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 YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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An experiment using Jev for real-time model selection in AI agents, collected for the agents shelf.
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A community post about humor management on a social platform.
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An agent project that enforces policies by judging Claude Code tool calls.
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A deterministic model routing system for coding agents with a skill for Codex.
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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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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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Türkçe ve İngilizce doğal konuşmayla Windows 10/11 bilgisayar kontrolü: OpenAI Realtime, local Whisper, Jev, UI Automation ve Playwright.
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Chrome extension that re-ranks Google results with TypeSafe Jev and folds away sales pages and SEO filler.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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jev-use (voice). A developer project implementing voice control for macOS with Jev as a fallback option.
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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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TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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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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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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Command-line tool for TypeSafe's Jev AI model.
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