> For the complete documentation index, see [llms.txt](https://gmgai.gitbook.io/gmgai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gmgai.gitbook.io/gmgai-docs/2-zhuan-an-gai-kuang/2.1-gmg-ai-jian-jie.md).

# 2.1 GMG AI 簡介

<figure><img src="https://1662256429-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOInT9iFppD4UyYolzhUH%2Fuploads%2FCTi9BemzrNON9ZsMz5ap%2Fimage.png?alt=media&amp;token=70014e81-72f4-4789-b749-95cc441a765f" alt=""><figcaption></figcaption></figure>

GMG AI 是全球首家基於 Web4 原生架構打造的全棧 AI 聚合生態平臺，由全球化產業資本集團九龍資本發起創立，是全球頂級數位資產平臺生態官方深度戰略合作夥伴，也是全球唯一同時實現：Web4 智慧底層＋AI Agent 自主經濟＋AI 智慧資產配置＋AI 市場預測＋優質專案上線＋智慧生態價值維護＋分散式算力確權＋AI 內容 IP 生態八大核心能力一體化的下一代智慧價值網路基礎設施。平臺以麒麟為全球品牌圖騰，象徵智慧、守護、賦能、長期主義與生態騰飛，融合東方文化底蘊與全球科技視野，致力打造技術頂尖、品牌頂級、生態頂級的 Web4 全球標竿。**資本背景**由九龍資本發起設立，香港、美國雙主體合規註冊，由九家全球主流產業資本、科技基金、數位經濟機構聯合組建。專案已完成 5000 萬美金戰略合作，全部資金到帳，資本方提供資金、合規、通道、品牌、生態、法務等全方位資源賦能，為平臺長期穩健發展建構全維度資本底座。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://gmgai.gitbook.io/gmgai-docs/2-zhuan-an-gai-kuang/2.1-gmg-ai-jian-jie.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
