> For the complete documentation index, see [llms.txt](https://docs.amigo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.amigo.ai/developer-guide/guides.md).

# Guides

Step-by-step playbooks for building specific kinds of agents end to end. Where the API reference tells you what each endpoint does, these guides tell you how to put them together into a working, tested agent.

Read them in order: the end-to-end playbook first, then the methodology deep-dive when you reach the build step.

1. [Build a Knowledge-Base Agent End to End](/developer-guide/guides/build-a-kb-agent-end-to-end.md) - start here. The full path: load your data, assign roles, build the agent, and test it.
2. [Knowledge-Base Agent: Retrieval and Build Methodology](/developer-guide/guides/building-a-knowledge-base-agent.md) - the deep-dive behind the build step: the retrieval-architecture decision and the measurement-driven build loop, grounded in a controlled bake-off.


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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.amigo.ai/developer-guide/guides.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.