A FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe AI@typesafeaiOFFICIALTypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
286 kaynak
AI-assisted summaries and translations. Check original sources for context and performance claims.
Claude Code eklentisi, kompaktlama özeti yerine Jev kararlarını kullanır: her araç çağrısı ve sonucu tek bir hızlı istekle puanlanır, eski olanlar atılır veya kesilir, her şey korunurken aynı kalır.
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Tarayıcı kullanımında ultra hızlı agent: Jev, işlemi ve DOM elementini tek bir istekle seçer; küçük bir LLM, yazma gerektiğinde metin yazmak için kullanılır.
JEVLAB ARTEnglishSource-linked curation
Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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An agent system that makes one Jev decision per computational step.
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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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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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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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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Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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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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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 developer project for agent-native routing that selects models based on task complexity.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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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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An agent project that enforces policies by judging Claude Code tool calls.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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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 deterministic model routing system for coding agents with a skill for Codex.
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A developer project for automatic context clearing in Pi without losing conversation history.
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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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Proof of concept MCP for Typesafe's new Jev AI model.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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Bir adımda yaklaşık 0,0002 dolarla bilgisayar kullanımı: ekranı OCR'leyin, bir sonraki eylemi TypeSafe ile sınıflandırın, tıklayın. macOS.
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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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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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Pi extension suite powered by Jev: selective context compaction and model routing.
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Chrome extension that asks Jev whether the page you are on is selling something or reporting first-hand experience, and marks Google results with verdicts it already has or snippet-only estimates, leaving low-confidence ones undecided.
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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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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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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Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.
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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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A developer project using Jev for plain-language MCP tool calls without an LLM.
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A flexible and configurable CLI model router using TypeSafe Jev.
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Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.
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Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation.
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🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.
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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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Agent budget brake — continue / downgrade_model / stop via TypeSafe Jev.
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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 small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model.
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Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed.
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Parallel web search for terminals and agents, with local Chromium and Jev-guided exploration.
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A GitHub project implements a web search tool where Jev selects sources for plain-language queries.
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Predict another skill's next closed decision with TypeSafe Jev — without running that skill.
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A lightweight Jev-powered router for models, tools, and subagents.
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TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.
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Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Filter command output for coding agents using a task description.
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Jev controls an Astra planner playing Minecraft in a developer project.
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A Chrome extension that covers distracting YouTube videos with Jev. Show anyway whenever you want.
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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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Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev.
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Six hook gates for Claude Code that catch broken rules, out-of-scope edits, unfinished asks, and false claims, each judged by Jev against a fixed checklist and one piece of evidence.
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Skill for Hermes, and other agents, to ask typesafe's jev.
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Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev.
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Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act).
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Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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Jev (TypeSafe) model router on the Vercel AI Gateway.
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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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MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
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CLI that uses Jev to catch AI slop in UI, copy, and agent instructions before ship (probabilities on semantic taste checks).
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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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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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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Kaynak gönder
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4 HIGHLIGHTS
ÇEVİRİ
4 clicks / 7d
Agents & browsers
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