> For the complete documentation index, see [llms.txt](https://team57.gitbook.io/web3-sensei/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://team57.gitbook.io/web3-sensei/features/learning-mechanics-for-web3.md).

# Learning Mechanics for Web3

**Web3 Sensei's Core Mechanics** Web3 Sensei incorporates fundamental Web3 mechanics to guide users through their entire journey with our innovative products.

Quiz-to-Earn: Engage in an immersive Web3 learning experience with Web3 Sensei. Users can earn their initial token rewards by participating in interactive quizzes that offer an easy and engaging way to acquire Web3 knowledge.

PoWT (Proof of Work and Time) Mining Game: This unique game motivates users to dedicate their time and effort on the Web3 Sensei platform. It utilizes a traditional Proof-of-Work mechanism, rewarding contributions made within our ecosystem.

Social Referral: Users have the opportunity to earn substantial rewards by simply sharing their experiences and building their Web3 social network with Web3 Sensei.

Stake and Swap: With Web3 Sensei, users are empowered to manage their first crypto wallets, securely store crypto assets, and perform staking, swapping, and transfer transactions seamlessly.


---

# 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://team57.gitbook.io/web3-sensei/features/learning-mechanics-for-web3.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.
