Bài đăng ra mắt Jev
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
A FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
Thông báo chính thức ra mắt TypeSafe giới thiệu phòng thí nghiệm và hướng người phát triển đến Jev. Bao gồm bộ phim giới thiệu của Diogo Almeida và lời giới thiệu ban đầu.
TypeSafe thông báo truy cập công khai vào Jev mà không cần danh sách chờ. Bảng điều khiển chính thức là điểm bắt đầu để thử nghiệm các quyết định có kiểu trong ứng dụng của bạn.
TypeSafe nhấn mạnh cách tiếp cận đầu ra có kiểu của Jev: các ứng dụng cung cấp trạng thái và câu hỏi, sau đó thực hiện hành động dựa trên xác suất, lựa chọn hoặc điểm số. Thông báo liên quan cũng đề cập đến tích hợp API Venice.
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.
An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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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 Chrome extension using Jev to filter out AI-generated content from YouTube, caching results for efficiency.
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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 describing 500 real-time agents operating in a 3D environment with notable performance metrics.
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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 Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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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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A community project describes an agent system that uses Jev to route requests to appropriate models.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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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 community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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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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A social media feed optimized using user bookmarks and Jev's analysis.
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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 content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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Detects low-quality content in real-time as users scroll.
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A community post about humor management on a social platform.
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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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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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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 focus group experiment using Jev to make scroll or stop decisions on ads.
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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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A Brave extension that scores posts for logical fallacies in real time, highlighting well-reasoned content with a green flag.
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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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A collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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A small agent using Jev compaction to manage searchable memory efficiently.
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Lists six specific tasks where Jev is used for fact-checking, ranking, text finding, citation checking, note grouping, and agent failure analysis.
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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 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 providing a tutorial on Jev, including demos for browser control and AI memory.
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A critique of using Jev for context compaction, highlighting issues with its approach to managing AI agent history.
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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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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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A collection of GitHub repositories highlighting practical and developmental Jev projects, including browser agents and trading bots.
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An open-source model for form-filling tasks with low latency.
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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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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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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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Proposal for custom Jev-style models to optimize agent workflows. Could reduce computational costs in decision-making processes.
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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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A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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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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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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Ultra-fast model routing using Jev for agent-based systems.
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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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AgentRun leverages Jev for creating self-sufficient agent workflows.
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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 community post testing Jev's performance in a browser environment, noting limitations after five actions.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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Brood War in WASM exposed as an MCP server, with Jev playing and still losing to a Zerg rush.
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Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
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Task plus subscription list in, Jev picks which model or agent should handle it.
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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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Framework for running end-to-end tests with agents using Jev.
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MCP skill router where Jev picks the relevant skills instead of a long agent search.
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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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Jev controls both hands and fingers to play piano in real-time based on visual input.
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10-step guide to implementing Jev for AI agent development and cost efficiency.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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A massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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