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.
1,198 项资源
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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 game project involving a penalty shootout against Jev using Render Workflows and Postgres.
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Jev successfully played and won a match in the game Clash Royale.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy.
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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.

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Jev AI plays Tetris at high speed, completing 357 pieces and 134 lines in 2 minutes. Demonstrates rapid decision-making capabilities.
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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。
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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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Jev from @typesafeai plays Balatro, making quick decisions on cards and gameplay within 200-500ms.
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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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Jev demonstrates potential for innovative UX/UI design through language model integration.
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A community post about rebuilding the X algorithm with Jev to simulate post virality and global feed.
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A tool using Jev to make copy-paste interactions smarter by deciding content based on context.
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A live Bluesky feed with real-time emotion detection and user avatar matching.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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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 to play Pokémon Red by typing each turn.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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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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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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An experimental tool using Jev to lint Supabase Row Level Security policies.
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Marcel Pociot's browser extension that collapses posts based on a Jev judgment.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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A GitHub Action using Jev for automated PR triage and classification.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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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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Context curator for Pi agent using Jev technology.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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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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A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
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Explains Jev's advantages over older LLMs in decision-making and building.
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Integrates Jev into apps for smart autofill features improving user experience.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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A 4-minute video explaining what Jev is and its limitations.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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A demonstration where Jev was given $10,000 to trade.
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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A guide explaining how to integrate Jev with Pydantic AI agents for type-safe operations.
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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.
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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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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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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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Demonstration of Jev's capability for rapid variable generation in development workflows.
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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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Jev generates piano music by selecting notes and chords based on input sequences.
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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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A tool that identifies App Store keywords by analyzing competitors and using Jev to filter relevant terms.
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基于Jev的项目精选列表,TypeSafe AI的System One模型用于类型化决策。
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A small agent using Jev compaction to manage searchable memory efficiently.
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Creates a dynamic audience of 100 simulated personalities that respond individually to user input using Jev.
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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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Enables instant compaction by scoring and filtering tool calls efficiently.
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Jev autonomously controls multiple characters in a video game with rapid decision-making.
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Jev processes game state data to make decisions and play Super Mario Bros. effectively.
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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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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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A community reference exploring how Jev perceives toxic content, with limited detailed analysis.
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A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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A free AI tool built on Jev that quickly scans text for low-quality content, processing around 10,000 words in 2 seconds.
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A community project uses Jev to detect AI-generated text, providing real-time sentence-by-sentence 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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Runnable Jev examples through OpenRouter for immediate implementation.
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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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