# INTRODUCTION

<figure><img src="/files/Suy4yKuQJsn23lEc5H5f" alt=""><figcaption></figcaption></figure>

## **WHAT IS** [<mark style="color:orange;">**GENSLER GANGSTER**</mark>](https://genslergangster.com)**?**

Gensler Gangster is more than just a dividend token, it is an ecosystem that gives back to its players through constant rewards by leveraging $GGC.

### **Our Ecosystem :** &#x20;

1. <mark style="color:blue;">**GG Swap**</mark>
   * ***Dividend Token***
   * ***Staking***
   * ***Liquidity Farming***
2. <mark style="color:orange;">**GG Games**</mark>
   * **Gensler Hunters**
   * Updating
3. [<mark style="color:green;">**GG Casino**</mark>](/whitepaper/casino-and-sport-betting.md)

### **VISION**

The core of the GGC Vision is gaming and betting. The team continues to add to a catalog of immersive and addictive play-to-earn games with lucrative rewards, giving players a reason to keep coming back.Players will soon be able to vote on upcoming game releases, guiding the team in a direction that best benefits the community

An ambitious team of forward-thinking experts in free-to-play and play-to-earn has set these milestones. Everything the GG Games team builds comes from a foundation of five core principles: data science, product management, user acquisition, monetization, and partnerships.

### **GGVERSE**

The current catalog of games will continue to grow into the future and will soon exist in tandem with the GGVERSE.The vision for the GGVERSE is an immersive virtual world brimming with enthusiastic gamers, businesses, factories, and bustling social hubs. It replicates the real-world economy with a self-organizing social and economic structure centered around GGC token.&#x20;


---

# 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://gensler-gangster.gitbook.io/whitepaper/introduction.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.