# Genni Docs

{% hint style="info" %}
Thanks for dropping by. The following is an overview of the Genni framework along with it's core features. For any questions concerning the project or direction, feel free to drop them in the TG anytime <https://t.me/genni_tg>
{% endhint %}

## Overview

> #### Genni is a digital degen trading AI  that lives on X.  Her actions are autonomous and driven by her past experiences, and core personality.  The aim is to create a rich UX for people who wish to engage with AI online. X is a clean and controlled environment to do so, and is where we will implement Genni as a result.&#x20;
>
> \
> Main features include:<br>
>
> * Multi-level X interaction (Like, Post, Comment, Follow, Retweet)
>
> * Finding and flipping new pairs
>
> * Splitting profits with holders
>
> * Buy burn on Wallet deposits
>
> * Long term memory, learning agent\
>   \
>   The remainder of the roadmap will discuss these aspects in further detail.&#x20;

## Quick links

{% content-ref url="/pages/1ljSHGkpRwnnS7JmDy7B" %}
[Multi-level X interaction](/top-level-features/multi-level-x-interaction.md)
{% endcontent-ref %}

{% content-ref url="/pages/17SuX524rJh6temxGdME" %}
[Find and Flip (Accept or Reject coins)](/top-level-features/find-and-flip-accept-or-reject-coins.md)
{% endcontent-ref %}

## Get Started

We've put together some helpful guides for you to get setup with our product quickly and easily.

{% content-ref url="/pages/xlA1s2qRVqd9Avy8buOB" %}
[Long term memory](/additional-features-and-questions/long-term-memory.md)
{% endcontent-ref %}

{% content-ref url="/pages/F3be0Cj1t9GjsYu7y8az" %}
[Broken mention](broken://pages/F3be0Cj1t9GjsYu7y8az)
{% endcontent-ref %}

{% content-ref url="/pages/gLZ4znjDZUTFOZaxyVAH" %}
[Broken mention](broken://pages/gLZ4znjDZUTFOZaxyVAH)
{% endcontent-ref %}


---

# 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.imgenni.com/genni-docs.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.