> 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/project.md).

# PROJECT

The Project Creation feature takes your creativity to the next level by letting you design collections of ASCII art. 

## Crypto or business project:

You can create your own character for your AI agents, animals for your meme coins or just something for your personal profile or business, this tool has your back. You can create a series of matching visuals, from profile pictures to banners and artwork, all tailored to fit a specific theme etc. Want to start your own crypto project? Generate 100s of artwork images with the exact same characters or theme.

Once your project is ready, you can showcase it, sell it through our marketplace to other Ascia users, or use it for your business goals. It’s like having a creative studio built entirely around ASCII art (still have the option to generate standard if you don't like ASCII).

## NFT project:

Design unique NFTs with matching themes, characters, or styles, and generate them in bulk with just a few clicks.

Once your NFT series is ready, you can mint and list them to the open market.

<figure><img src="/files/39KctaWxbbTkOynEKwBY" alt=""><figcaption></figcaption></figure>


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# Agent Instructions
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## 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/project.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.

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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.