> For the complete documentation index, see [llms.txt](https://whitepaper.profitrocket.ai/profitrocket-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.profitrocket.ai/profitrocket-ai-whitepaper/airdrop-faq-ai-knowledge-bot-etc.../ai-profitbot.md).

# AI ProfitBot

Researching new projects to invest in can get pretty frustrating sometimes right? Wouldn't it be nice if you could simply ask someone what you want to know anytime of the day 24/7 and receive an answer immediately? 

With the recent advancements in AI now you can! Introducing ProfitBot, our AI knowledge center!  ProfitBot can answer literally anything about the project.  You can even ask about individual functions of the contract or find out if it has any potential vulnerabilities. 

### <mark style="color:yellow;">You can find ProfitBot in the lower right-hand corner of our website.</mark>

\*The bot is only trained for project information, it is not a free ChatGPT option.


---

# 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://whitepaper.profitrocket.ai/profitrocket-ai-whitepaper/airdrop-faq-ai-knowledge-bot-etc.../ai-profitbot.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.