> For the complete documentation index, see [llms.txt](https://vrynt.gitbook.io/vrynt-platform-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vrynt.gitbook.io/vrynt-platform-guide/guides/creating-a-vrynt-collection/ai-collections.md).

# AI Collections

AI Collections are collections powered by VRYNT's AI Engine. These collections are created using a single source image or with a text topic.

Components in these collections have the power to alter the single source image chosen by the VRYNT Collections Creator to create VRYNTs of the original image.

Components in these collections are chosen by the VRYNT Collection Creator and are randomized within component packs. These components have the ability to be combined in the strings of text in which the VRYNT engine will generate an image from.

{% hint style="info" %}
Components can either be purchased individually in the marketplace, or in random component packs.
{% endhint %}


---

# 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://vrynt.gitbook.io/vrynt-platform-guide/guides/creating-a-vrynt-collection/ai-collections.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.