Jev发布帖
Diogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
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Recent activityDiogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
TypeSafe的正式发布公告介绍了实验室,并引导开发者使用Jev。公告包含Diogo Almeida的发布影片和原始介绍。
TypeSafe宣布Jev向公众开放,无需等待列表。官方控制台是将类型化决策应用于自己应用程序的起点。
TypeSafe强调Jev的类型化输出方法:应用程序提供状态和问题,然后根据概率、选择或评分进行操作。相关公告还介绍了Venice 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代码插件通过Jev决策替换压缩摘要,通过一次快速请求对每个工具调用和结果进行评分,过时的调用会被丢弃或截断,所有保留的内容保持原样。
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浏览器使用中的超快速代理:Jev在一次请求中选择操作和DOM元素;仅当需要输入时,小型LLM才编写文本。
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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 community post testing Jev's performance in a browser environment, noting limitations after five actions.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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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 massively parallel browser-based adversarial testing suite for evaluating releases, costing pennies.
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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 Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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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 resource explaining Jev Engineering methodology for AI agent development.
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Jev-assisted file retrieval and request caching for faster Pi workflows.
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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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A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.
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Tutorial covers API setup and building prototypes with Jev and LLMs.

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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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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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Jev analyzes outreach messages to identify signals that lead to booked demos, improving campaign performance.
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A community post about humor management on a social platform.
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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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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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An agent project that enforces policies by judging Claude Code tool calls.
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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 developer project providing a local MCP server for running pre-made Jev question packs.
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A small agent using Jev compaction to manage searchable memory efficiently.
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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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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Enables instant compaction by scoring and filtering tool calls efficiently.
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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 system that makes one Jev decision per computational step.
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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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Official TypeSafe reference: Skill suggestion.
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Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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A focus group experiment using Jev to make scroll or stop decisions on ads.
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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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Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.
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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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Framework for running end-to-end tests with agents using Jev.
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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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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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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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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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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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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A developer project for automatic context clearing in Pi without losing conversation history.
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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 community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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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 social media feed optimized using user bookmarks and Jev's analysis.
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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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Reduces SEO and GEO fix costs by 90% through faster data analysis and automation.
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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 developer project for agent classification and selective reading using an agent plugin and MCP tool.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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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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Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
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A project using Jev to enable fast voice-controlled interactions with a Mac computer.
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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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An agent plugin using Jev to determine optimal points for session compaction, improving efficiency in context management.
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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 providing a tutorial on Jev, including demos for browser control and AI memory.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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Context curator for Pi agent using Jev technology.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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