Jevのリリース投稿
ドイゴ・アレイダがJevを紹介し、TypeSafeの構造化された意思決定モデルを説明します。リリース映像を視聴し、オリジナルスレッドでモデルのアプローチ、例、および著者によるパフォーマンスを確認してください。
ドイゴ・アレイダがJevを紹介し、TypeSafeの構造化された意思決定モデルを説明します。リリース映像を視聴し、オリジナルスレッドでモデルのアプローチ、例、および著者によるパフォーマンスを確認してください。
TypeSafeの公式リリース発表では、ラボの紹介とビルダー向けのJevへの指向が含まれています。ドイゴ・アレイダのリリース映像とオリジナルの紹介が含まれます。
TypeSafeはJevの公開アクセスを発表し、待機リストなしで利用可能にしています。公式コンソールは、独自のアプリケーションで型付き意思決定を試すための出発点です。
TypeSafeはJevの型付き出力アプローチを強調しています。アプリケーションは状態と質問を提供し、確率、選択肢、スコアに基づいて動作します。リンクされた発表では、Venice APIの統合も紹介されています。
Start with the Launch Post. Explore four official signals.
378 件の資料
AI-assisted summaries and translations. Check original sources for context and performance claims.
ブラウザでの使用向けの超高速エージェント:Jevは1回のリクエストで操作とDOM要素を選択し、入力が必要な場合にのみ小さなLLMがテキストを書く。
JEVLAB ARTSource-linked curation
Claude Codeプラグインで、コンパクションサマリーをJevの決定に置き換える。ツールコールと結果が1回の高速リクエストでスコア付けされ、古くなったものは破棄または切り詰められ、保持されるものは変更されない。
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A resource explaining Jev Engineering methodology for AI agent development.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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Agent automates second-hand product search and decision-making. Processes 26 listings per minute with fast evaluation times.
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Route to the cheapest model in claude code for your task using jev-router.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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A focus group experiment using Jev to make scroll or stop decisions on ads.
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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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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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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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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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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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A developer project providing a local MCP server for running pre-made Jev question packs.
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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 deterministic model routing system for coding agents with a skill for Codex.
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Ultra-fast model routing using Jev for agent-based systems.
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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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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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A collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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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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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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An agent that plays Tetris with rapid decision-making capabilities. Shows potential for real-time game automation.
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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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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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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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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 community post providing a tutorial on Jev, including demos for browser control and AI memory.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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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 community post testing Jev's performance in a browser environment, noting limitations after five actions.
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AgentRun leverages Jev for creating self-sufficient agent workflows.
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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 community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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A small agent using Jev compaction to manage searchable memory efficiently.
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Starchild uses Jev for real-time prompt classification, reducing costs by 20x and increasing speed by 6x with average processing time of 140ms.
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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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Proof of concept MCP for Typesafe's new Jev AI model.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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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 resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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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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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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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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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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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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Context curator for Pi agent using Jev technology.
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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 plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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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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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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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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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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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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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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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 Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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A social media feed optimized using user bookmarks and Jev's analysis.
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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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Interactive TypeScript coding CLI with typed routing, decision programs, and validated formal trees driven by Jev.
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MacOS computer use driven by Jev (TypeSafe System One) as the decision maker.
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