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.
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Recent activityA 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.
Plugin Claude Code thay thế tóm tắt compaction bằng quyết định Jev: mọi cuộc gọi công cụ và kết quả được điểm số trong một yêu cầu nhanh, các bản ghi lỗi được loại bỏ hoặc cắt ngắn, mọi thứ được giữ nguyên.
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Trình duyệt sử dụng agent siêu nhanh: Jev chọn thao tác và phần tử DOM trong một yêu cầu; một mô hình ngôn ngữ nhỏ chỉ viết văn bản khi cần gõ.
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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 experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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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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An agent system that makes one Jev decision per computational step.
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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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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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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 claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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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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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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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 analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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Sử dụng máy tính với chi phí khoảng 0,0002 USD mỗi bước: quét màn hình bằng OCR, phân loại hành động tiếp theo với TypeSafe, nhấp chuột. macOS.
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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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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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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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A community post about improving a Slack agent's speed using Jev for faster skill and tool classification.
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A developer project for automatic context clearing in Pi without losing conversation history.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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A community project describes an agent system that uses Jev to route requests to appropriate models.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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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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A focus group experiment using Jev to make scroll or stop decisions on ads.
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Detects low-quality content in real-time as users scroll.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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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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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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Jev handles seven SEO and GEO workflows, including competitor page analysis, citation likelihood, and content optimization.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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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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A plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Ultra-fast model routing using Jev for agent-based systems.
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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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A deterministic model routing system for coding agents with a skill for Codex.
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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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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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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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A small agent using Jev compaction to manage searchable memory efficiently.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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Context curator for Pi agent using Jev technology.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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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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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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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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Framework for running end-to-end tests with agents using Jev.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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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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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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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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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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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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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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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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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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An experiment using Jev for real-time model selection in AI agents, collected for the agents shelf.
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Official TypeSafe reference: Skill suggestion.
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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 YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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Route to the cheapest model in claude code for your task using jev-router.
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A resource explaining Jev Engineering methodology for AI agent development.
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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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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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