> For the complete documentation index, see [llms.txt](https://docs.avonnicomponents.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.avonnicomponents.com/experience-cloud/build-with-ai.md).

# BUILD WITH AI

- [Overview](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/overview.md): Connect your AI assistant to the Avonni MCP server and install the Avonni Skills to build and update Avonni components on your Experience Site pages from plain-language prompts.
- [Setup](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/setup.md): Install the Avonni Skills and connect the Avonni MCP server to your AI assistant.
- [Using the AI Assistant](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/using-the-ai-assistant.md): Describe what you want in plain language, and the right skill activates and looks up accurate component knowledge through the MCP server.
- [Prompt Library](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/prompt-library.md): Copy-paste prompts for building Experience Site pages with Avonni components, organized by goal.
- [Limitations & FAQ](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/limitations-and-faq.md): What the Avonni MCP server and Skills do not cover, and fixes for common setup problems.
- [For AI Agents](https://docs.avonnicomponents.com/experience-cloud/build-with-ai/for-ai-agents.md): Everything on this site is machine-readable: Markdown URLs, a full index, a question-answering endpoint, and the Avonni MCP server.


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# 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://docs.avonnicomponents.com/experience-cloud/build-with-ai.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.