# Welcome

[floatz AI](https://app.floatz.ai) Hashtag upgrade introduces **Multitasks**. Multitasks enable users to ask complex research questions and receive AI generated content constructed from multiple chains of information.&#x20;

Multitasks can simple be created at a press of Shift+Enter or, for advanced users, through our **Hashtag** language.

The experience has been designed with the goal of giving users as much control as possible when working with scientific questions and literature.

This documentation includes a guide on how to ask research questions with **Multitasks** as well as the reference manual for using **Hashtag.**\
\
Up to 5 workflows are available for free account holders and an unlimited number to Pro subscribers.

This documentation is a work in progress. Workflows developed with Hashtag recently became part of **Multitasks**. Readers wanting to use Hashtag, are welcomed to jump [here](/getting-started/quickstart.md) and [here](/hashtag-advanced/hashtag.md).

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><p><strong>Getting Started</strong> </p><p></p></td><td>Your first Multitask</td><td></td><td></td><td><a href="/pages/Zvukm7MAGL6ooitMTmpY">/pages/Zvukm7MAGL6ooitMTmpY</a></td></tr><tr><td><p><strong>Multitasks</strong> </p><p><strong>(docs under construction)</strong></p></td><td>Ask complex questions</td><td></td><td></td><td><a href="/pages/ZHknMwHNvi5HpDztPBDC">/pages/ZHknMwHNvi5HpDztPBDC</a></td></tr><tr><td><p><strong>Hashtag</strong> </p><p><strong>(Advanced)</strong></p></td><td>Learn Hashtag</td><td></td><td></td><td><a href="/pages/7mKHnVHt71jvulmJr5ua">/pages/7mKHnVHt71jvulmJr5ua</a></td></tr></tbody></table>


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# Agent Instructions: 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:

```
GET https://docs.app.floatz.ai/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
