> For the complete documentation index, see [llms.txt](https://aikaverse.gitbook.io/aikaverse/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aikaverse.gitbook.io/aikaverse/entering-aikaverse/whats-aikaverse.md).

# What's AikaVerse?

AikaVerse is an AI-driven ecosystem built to transform the way you experience crypto. Think of it as a new dimension, one where you no longer have to worry about technicalities or steep learning curves. Our goal is to handle the complexity so you can focus on what really matters: **making informed decisions and achieving your goals.**

#### Here’s what makes AikaVerse special:

## Aika: Your Core AI Companion

Aika is not just your assistant—she's your partner. With advanced natural language understanding, she can translate your ideas, questions, and commands into on-chain actions. Whether you want to trade tokens, analyze trends, or dive into market insights, she's **always by your side.**


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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://aikaverse.gitbook.io/aikaverse/entering-aikaverse/whats-aikaverse.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.
