TypeSafe AI@typesafeaiOFFICIALTypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyone查看项目 ↗
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can use查看项目 ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
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.
TianyuCodingsCompact version of Jev that generates full probability distributions in a single forward pass.
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Paul WeiJev model demonstrates fast decision-making in a strategy game. Achieves high-speed gameplay with minimal visual feedback.
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0xLogicrwThread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents.
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x.comA community post discusses Jev as a faster general classifier/decision-maker, questioning its accuracy in complex scenarios and noting potential benefits in limited solution spaces with low latency requirements.
x.comDay-one notes from a skeptic, in Chinese查看项目 ↗Source-linked curation
x.comA collection of 19 open-source projects using Jev technology for various applications including AI agents and game interactions.
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Jiaqi GuA project using Jev for skill routing in an agent system, based on community development.
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x.comA plugin using Jev's scoring capability to remove unnecessary terminal garbage and redundant logs, improving agent performance.
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Dasheng is a GitHub tool combining speech recognition with Jev for real-time word-by-word transcription and marking of spoken content.
github.comwquguru/dasheng查看项目 ↗Source-linked curation
x.comTesting Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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x.comA community post listing Chinese open-source Jev clones with technical specifications.
x.comFive open Jev replicas, in Chinese查看项目 ↗Source-linked curation
发布文章：架构、RLCD 训练、定价、Doom 和 Wikiracing 演示、常见问题。
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Chris Tate将JSON渲染与Jev结合的实验，用于快速生成用户界面，实现组件和设计系统的快速渲染。
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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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Gregor ZunicGregor Zunic的动态DOM操作空间航班搜索演示。
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metr0xMOSS根据指令捡起垃圾的模拟，旨在通过自动化决策提高街道清洁度。
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从 API 密钥到类型化决策的最短路径。
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发布System One工作流的评估方法和各模型的结果。
evals.typesafe.aiWorkflow evals查看项目 ↗Source-linked curation
粘贴一个状态，添加问题，并在浏览器中查看类型化答案。
console.typesafe.ai沙盒查看项目 ↗Source-linked curation
Nailthy Tang使用Jev根据用户输入和对话分析选择和更换服装的实时虚拟试穿实验。
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选择、评分和 Noul：三种问题类型及其返回内容。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
官方同步和异步 Python 客户端。pip install typesafe-sdk。
github.comtypesafe-ai/typesafe-sdk-python查看项目 ↗Source-linked curation
Higgsfield AI 🧩演示Jev在Higgsfield上为视频和图像生成任务选择最合适的AI模型。
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当前公共模型已知的故障模式，由TypeSafe记录。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
简介、基本元素、模式、教程、HTTP API和SDK参考。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
Faadil ShaikJev使用快速推理和结构化输出控制超级马里奥兄弟，展示其在实时应用中的潜力。
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Kevin Grajeda实时评估提示难度的分类器，可为简单提示启用快速模式以提升用户体验。
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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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POST /v1/systemone 的请求和响应协议。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
TypeSafe官方服务器。构建者演示位于“展示与讲述”频道。
discord.ggDiscord查看项目 ↗Source-linked curation
为软件而非对话构建的机器原生智能的主张。
typesafe.ai宣言查看项目 ↗Source-linked curation
推测性分支、信心门控路由、复合评分和意图路由。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
可复现的配方：并行问题、重新排序、护栏、引用检查、提取、层次分类。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
TypeSafe官方参考：简介。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
产品和研究更新。
x.com@typesafeai on X查看项目 ↗Source-linked curation
Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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展示推测性分支的交互式演示：一次调用多个问题，代码保留相关答案。
docs.typesafe.aiSTATE → DECISION → CODE查看项目 ↗Source-linked curation
A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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A community post describing an autonomous driving system using Jev to process real-time environmental data.
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A user tested the new Jev model and shared insights about its significance for System One models.
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A developer project for automatic context clearing in Pi without losing conversation history.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
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A drone navigation experiment where Jev makes real-time decisions to avoid obstacles in an asteroid field.
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A resource explaining Jev's functions, costs, and evaluation metrics as TypeSafe's System One model.
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A community post describing control of a simulated fly.
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Kevin WangA tool for monitoring Reddit threads to gather data cited by AI, offering free analysis of 4000 threads via email, Discord, or Slack.
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AbolA community post describes using Jev to analyze news for stock investment opportunities.
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Jev predicts upcoming shell commands by analyzing historical command data.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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TypeScript官方AI SDK的类型安全Elixir端口，提供统一的LLM集成、流文本和结构化输出、工具调用和代理工作流。Jev是其当前旗舰模型，也是第一个System One模型。
github.comnshkrdotcom/typesafe_sdk查看项目 ↗Source-linked curation
Jev-assisted file retrieval and request caching for faster Pi workflows.
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Niaz MorshedAn experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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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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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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Jason LuA tool that improves end-to-end testing efficiency, completing tasks faster and cheaper than other models.
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Jack ChengA tool that uses Jev to convert pointing and speech into drawing actions on a canvas.
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基于Jev的查询规划器优化Postgres性能，在连接顺序基准测试中实现12%的速度提升。
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Jev plays Tetris by making real-time decisions to move blocks.
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Jev processes 1,000 emails for category, priority, spam, and reply predictions.
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Chandramouly KandacharJev controls both hands and fingers to play piano in real-time based on visual input.
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savA community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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A logic interpreter uses plain English to enable Jev to perform reasoning tasks it cannot handle alone.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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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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Tony DinhA Chrome extension using Jev to detect and skip YouTube sponsor segments in real-time.
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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
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A community post discussing a system where Jev acts as a quality gate for drafts, though it faced issues with communication.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Raihan KhanA tool that analyzes public PR links to determine if they are safe to merge or need review, using Jev's capabilities.
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A community post demonstrating Jev playing Flappy Apex, achieving a high score autonomously through Appduct and Fable.
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A community project exploring Jev's potential to evaluate agent progress beyond basic trace data.
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Detects low-quality content in real-time as users scroll.
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