> For the complete documentation index, see [llms.txt](https://academy.any2info.com/any2info-academy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/getting-started/markdown.md).

# Markdown

In Any2Info, Markdown is used to structure **AI instructions**, especially inside System Instructions for Agents.

Markdown helps you organize text clearly so the AI understands:

* Its role
* The task
* The required output format

You do not need advanced Markdown knowledge. We mainly use it to improve structure and clarity.

***

### Why We Use Markdown

AI models perform better when instructions are clearly structured.

Using Markdown helps you:

* Separate sections (Role, Task, Context, Output)
* Define strict output formats
* Reduce ambiguity
* Improve consistency in responses

***

### Best Practice

When writing AI instructions:

* Keep sections clearly separated
* Be explicit about requirements
* Define the expected output format
* Avoid long, unstructured paragraphs

***

For a complete Markdown reference, visit:

{% embed url="<https://www.markdownguide.org/getting-started/>" %}


---

# 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://academy.any2info.com/any2info-academy/no-code-platform/ai-studio/getting-started/markdown.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.