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

# AGENTS

## Creative agents:

Sometimes, your creativity is horrible or you just need a fresh perspective. That’s where the creative AI agents come in. These virtual assistants are like your creative best friends. They’ll offer tips, throw in unique ideas, and even ask you questions to learn about you.

## Social agents:

The social AI agents are your automated partners for social media. These agents don’t just sit around waiting for you to tell them what to do. They reply to comments, post random/weird things, and even create and share art and videos all on their own. Imagine you create a project through the project page. You can configure your social agent to use that project and generate more artwork using the exact same character seamlessly. 

<figure><img src="/files/4ybMI60BAMBQ7gLfgO5Q" alt=""><figcaption></figcaption></figure>


---

# 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.ascia.ai/features/agents.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.