浏览器使用 + Jev
Gregor Zunic的动态DOM操作空间航班搜索演示。
A FIELD GUIDE TO JEV / VOL. 01
汇集 Jev 的真实项目、实用指南和来自全网的创意。
Gregor Zunic的动态DOM操作空间航班搜索演示。
01 / A small decision engine. A whole new way to build.
714 项资源 / 资源集
重置筛选AI-assisted summaries and translations. Check original sources for context and performance claims.
Dasheng is a GitHub tool combining speech recognition with Jev for real-time word-by-word transcription and marking of spoken content.
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。
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。
官方同步和异步 Python 客户端。pip install typesafe-sdk。
官方代理技能,适用于Claude Code、Codex和兼容代理:基本操作、模式及评估结构方法。
官方可替换TypeSafeClient的Python适配器,支持OpenAI、Anthropic和兼容LLM API,用于比较Jev与聊天模型。
官方TypeScript/JavaScript客户端,支持推断答案类型。npm install @typesafe-ai/sdk。
命令行工具,用于TypeSafe AI的Jev模型,可针对任何文本提出是/否、多项选择和评分问题并返回校准概率。
基于Jev的项目精选列表,TypeSafe AI的System One模型用于类型化决策。
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。
PadFlow(土地开发SaaS)的类型化决策基准:模式、匿名化标记行和用于信心校准模型的运行器,如TypeSafe Jev。
Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.
Go SDK for the TypeSafe AI API — typed questions in, probability distributions out.
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python.
List of projects that use typesafe's jev.
Benchmarks Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes.
Hunch is a GitHub tool for code review that applies rules written in plain English to analyze and improve code quality.
Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
Jev-Tool-Runner is a GitHub project where Jev selects developer tools and Codex generates code based on those selections.
Visual-Jev is a GitHub research project that makes decisions based on images rather than text descriptions of visual content.
Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One.
Chrome-devtools-mcp plus one tool: Jev walks the browser to the right spot, then your agent makes a single devtools call there.