工具简介
EDITH 收录在「开发者工具与 API」分类中，可免费使用，可在网页端上使用。官网地址 edithx.ai。
如何使用
- 访问 edithx.ai 完成注册，先阅读快速开始文档
- 建立测试项目，按示例跑通第一个用例
- 根据实际需求调整参数与调用方式
- 确认稳定后接入生产流程，并做好错误处理与限流
查看官网原文（英文）
以下为收录时的原文，语言与页面不同，未做翻译。
EDITHis a comprehensive tokenization infrastructure that transforms physical assets like AI compute, real estate, and energy systems into digital tokens. It streamlines asset management and market access by providing a seamless platform for efficient transactions and integration.
官网介绍
A register for unlisted ownership. Every asset gets a checkable ID; the holdings behind it stay sealed.
官方常见问题
- Is this a GPU platform?
- No. Compute is the first book on the register because it earns, it is measurable, and it let us prove the rail. The register is the product, and the other books use the same path.
- What does an ID actually prove?
- That a specific asset is recorded on the register, and that a given claim against it is real and backed. It does not publish who holds what, or how much.
- If it is sealed, how does anyone verify it?
- Each claim carries a cryptographic proof that it is backed and solvent. A counterparty checks the proof rather than the ledger. Holders can disclose more, to a specific party, when they choose to.
- Is any of this using real money?
- Not yet. IX-CORE runs on Base testnet and settles in test tokens. Value is modelled from live market rates so the mechanics are real, but nothing on the site is a live financial product.
- Is there a token?
- No. There is no token, no sale and no distribution. If that ever changes it will be announced directly, and it will not be announced first on a landing page.
- How does a new asset get onto the register?
- Through the same three steps as everything else. Onboarding is a defined process, not an open form. Assets are reviewed before they are recorded.
编程与调试 · 常用提示词
下面这些都能直接复制，把里面的变量换成你自己的情况就能用。
- 性能优化：先定位再改在改代码之前，先给出「怎么测量、瓶颈可能在哪、改哪个收益最大」的判断。
- 接口设计：命名与错误码统一一次定好资源命名、分页方式、错误码语义，避免十个接口十种风格。
- 日志排查：从现象倒推把「日志里看不出问题」变成一张「该加什么日志」的清单。
同类工具怎么选
下面是同一类目下已经写好的对比与替代清单。读完这个工具能做什么，接着看它和谁比、有没有更顺手的方案。
开发者工具与 API类工具的对比
- n8n、Dify的对比n8n 和 Dify 的横向对比：系统集成、LLM 编排、知识库、自托管成本，附选型结论。
- 扣子、n8n的对比扣子和 n8n 对比：搭建门槛、模型接入、系统集成能力、数据合规与部署方式，附选型结论与组合用法。
- Manus、扣子的对比Manus 和扣子的横向对比：任务执行、可视化编排、渠道发布、可复用性，附选型结论。
编程开发类工具的国内替代
- Lovable 国内替代Lovable 用对话直接产出可部署的前端应用。国内同类工具已经能接住大部分原型需求，差别在「生成之后能不能改」和「能不能接自己的后端」。这份清单按落地深度排序。
- Cline 国内替代Cline 是开源的 VS Code 编程 Agent，自己填 API Key、自己承担调用成本。国内有同形态的工具，但多数是托管服务。这份清单说清「开源自托管」与「开箱即用」各自适合谁。
- Cody 国内替代Cody 的差异点是「先检索整个代码库，再回答」。这类需求在存量项目里最强烈：新人上手、跨模块改调用、查某个约定俗成的写法。这份清单给出国内可用的代码库级问答方案。
对比结论与替代建议为编辑整理，价格与额度以各工具官网为准。