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迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
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Recent activity迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
TypeSafe 的正式推出公告介紹了實驗室,並引導開發者使用 Jev。包含迪奧戈·阿梅達的推出影片和原始介紹。
TypeSafe 宣佈 Jev 無需等待名單即可公開使用。官方控制台是將類型化決策應用於自己應用程式的起點。
TypeSafe 強調 Jev 的類型輸出方法:應用程式提供狀態和問題,然後根據機率、選擇或分數進行操作。連結的公告也涵蓋了威尼斯 API 集成。
Start with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Claude Code插件透過Jev決策替換壓縮摘要,單一快速請求中評分所有工具呼叫與結果,過時資料被刪除或截斷,保留資料原樣不變。
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瀏覽器使用場景中的超快速代理:Jev 在一次請求中選擇操作和 DOM 元素;僅在需要輸入時使用小型 LLM 寫入文字。
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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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Detects low-quality content in real-time as users scroll.
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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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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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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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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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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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A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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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 community post providing a tutorial on Jev, including demos for browser control and AI memory.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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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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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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A developer project for agent-native routing that selects models based on task complexity.
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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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An agent project that enforces policies by judging Claude Code tool calls.
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A developer project for automatic context clearing in Pi without losing conversation history.
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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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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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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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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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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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Ultra-fast model routing using Jev for agent-based systems.
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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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每步僅需 0.0002 美元的電腦使用費:螢幕 OCR,使用 TypeSafe 分類下一步動作,並進行點擊。支援 macOS。
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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 Brave extension that scores posts for logical fallacies in real time, highlighting well-reasoned content with a green flag.
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A social media feed optimized using user bookmarks and Jev's analysis.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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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 post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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 community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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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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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 developer project using Jev for plain-language MCP tool calls without an LLM.
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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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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 YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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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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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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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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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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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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Official TypeSafe reference: Skill suggestion.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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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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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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Route to the cheapest model in claude code for your task using jev-router.
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A community experiment using Jev as a plugin in Claude to reduce unnecessary tool calls, cutting token count from 1M to 86K.
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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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Jev controls both hands and fingers to play piano in real-time based on visual input.
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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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A community post about humor management on a social platform.
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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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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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