代码可使用的答案
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。
x.com代码可使用的答案查看项目 ↗Latest addition
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Recent activityTypeSafe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。
x.com代码可使用的答案查看项目 ↗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。
x.comJev向所有人开放查看项目 ↗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。
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。
Four official signals. A fresh starting point on each visit.
1,198 项资源
AI-assisted summaries and translations. Check original sources for context and performance claims.
Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.

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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.

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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.

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A Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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A community post discussing Jev's use in enforcing coding rules that linters cannot handle.
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由Jev控制的双臂机器人,用于决策,逆运动学和物理由代码处理以实现高效操作。
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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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Framework for running end-to-end tests with agents using Jev.
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A trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
github.comFrank-ZY-Dou/awesome-jev查看项目 ↗Source-linked curation
A content marketing tool that analyzes 12.8M viral videos to generate data-backed social media scripts.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。

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A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources.

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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 tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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Jev converts websites into native mobile apps by deciding the optimal build process and handling app store submissions.
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A project exploring pixel-level image generation through parallel decision-making processes.
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A developer project using Jev to play Pokémon Red by typing each turn.

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Runnable Jev examples through OpenRouter for immediate implementation.

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A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.

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Jev提高安全流水线效率,实现5倍成本降低和更快处理,同时保持比小型模型更高的准确性。

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Directory of Jev-based projects including repositories, SDKs, and benchmarks.

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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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An experimental game where Jev AI generates multiple timelines to keep Mario alive through decision branching.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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A community project for training a Jev-like architecture using a reverse-engineered model.
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A community post about humor management on a social platform.
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A guide exploring Jev's architecture through 10,000 API calls.

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A guide explaining Jev's approach to making typed decisions rather than processing text.

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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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askjev.ai. A community post describing a platform where users can ask questions to Jev, which provides judgments rather than direct answers.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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A 2-minute song composed by Jev-thoven using first principles.
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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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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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A small agent using Jev compaction to manage searchable memory efficiently.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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Jev filters social media posts to reduce negative content exposure by categorizing them.
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Jev integrates with Cal.com to quickly find team scheduling overlaps.
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每步成本约0.0002美元的计算机使用:对屏幕进行OCR,用TypeSafe分类下一步操作。支持macOS。

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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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A guide explaining three types of micro decisions used by Jev AI.
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Jev demonstrates real-time decision-making in the game Doom, making moves up to ten times per second.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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An experiment exploring Jev's ability to solve pathfinding problems compared to traditional algorithms like A*.
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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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Test report using Jev to check each agent action first: most attacks caught, almost no false blocks.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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A Jev-compatible public API using an open model for fast parallel processing.
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JevForm creates adaptive forms that change based on user input meaning rather than fixed if-then logic.
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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 enables natural language search for Zillow listings, classifying properties by non-standard filters.
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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.

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Jev play Tetris in real-time against other AI models.

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Jev is used in mobile end-to-end testing with improved efficiency.
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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。
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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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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 demonstration where Jev was given $10,000 to trade.
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Official TypeSafe reference: Skill suggestion.

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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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Ultra-fast model routing using Jev for agent-based systems.

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Jev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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Voice command integration for the Autumn billing dashboard to streamline tasks.
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Jev is presented as a language generation tool in a community post, challenging perceptions about its capabilities.
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A developer project for the games shelf, where Jev improvises piano with proper questions.

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Jev-assisted file retrieval and request caching for faster Pi workflows.

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SuperX与Jev集成实现快速帖子评分,每篇帖子分析61个问题,不到一秒内完成且预测高病毒潜力准确性高。
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A tool that automatically locates and retrieves invoices from any website using Jev's capabilities.
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