# Introduction

## **FOMA AI (Fundamentals Oriented Meme Analysis) is our solution**

The generated AI model will be the antagonist of FOMO (Fear Of Missing Out), which is the weapon with which  biased information tries to manipulate humans purchase intentions. 

For this reason, Hugo's model will be called F.O.M.A (Fundamentals Oriented Meme Analysis), which will not be based on emotion but on numbers and probabilistic calculations.

The information that the AI ​​will take into account will not be revealed,  just as Google initially positioned websites trying to offer the user the result most closely related to their search, in the same way the AI ​​model that Hugo will offer to humans will provide objective information with a score resulting from an algorithm that will take into account dozens of factors, from marketing, tokenomics, profiles, smart contracts and other values ​​that will allow it to give a cold and realistic assessment of all the tokens about to be listed or already listed.

### Technical Architecture

Smart Contracts: All mechanics of staking, revenue distribution, and AI access are managed by transparent, auditable smart contracts on Base.

\ <br>


---

# 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://hugo-4.gitbook.io/whitepaper/foma-ai/publish-your-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.