# QUICK START

> Training your X-Agent with Social Entertainment on Twitter.

Welcome to CyberPetaCraft, a Web3 entertainment and social platform built on Twitter. By connecting your wallet through a browser extension, each player receives a free x-assistant. Enhancing your robot's computing power can yield substantial rewards.

Evolved into an AI-assistant, you gain the ability to customize tweets and train your robotic assistant to better understand and respond to social media trends and interactions, thereby enriching your experience and engagement on the platform.

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## **Operation Guide**

1. 📌Install [extension](https://chromewebstore.google.com/detail/cyberpetacraft/fjlcpgdeknkhhkmjdgkmaefaedmpchil?hl=en-US\&utm_source=ext_sidebar) or [DAPP](https://app.cyberpetacraft.xyz/)

Launch Twitter, connect your wallet, and then commence your [Nurturing Robots](/docs/entertainment/gaming-system/nurturing-robots.md) experience.

2. 🎁Treasure hunt on twitter

While browsing tweets, uncover [Twitter Rockets](/docs/entertainment/social-system/twitter-rockets.md)🚀 that offer random rewards. These surprises could be a bounty of resources for your robots, ranging from batteries and temporary computing power to tokens and more.

3. 💕Invite Friends

Boost your game by inviting friends to earn Radiant Power (RP) and join the [Referral ](/docs/entertainment/referral-system.md)[Pool](/docs/entertainment/referral-system.md). Leverage your social network for more $COGS income; The greater your network, the higher your RP power and rewards.

4. 🤑More Yield

Participating in more Twitter training sessions to gain your personal avatar, allowing your X-Agent to work for you.


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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://cyberpetacraft.gitbook.io/docs/quick-start.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.
