# Welcome

<mark style="color:red;">**WE ARE IN AN EARLY STAGE OF DEVELOPMENT. EVERYTHING IN THIS DOCUMENT IS SUBJECT TO CHANGE**</mark>

Welcome aboard the VELANOVAi Star Ship! Get prepared as we provide you with a full briefing of what VELANOVAi has to offer.

Please review this document and DYOR. You will see that VELANOVAi is made for **YOUR SUCCESS**

For a project to be successful there are many key attributes to look for. Please review the [Risk Mitigation](/velanovai/readme/risk-mitigation.md) tab to stay informed about how this project is made for success.&#x20;

## **Project Overview:**

Our **Decentralized AI Forum** is similar to a traditional forum but with a key difference: Currently, valuable knowledge is shared across many forums, but independent publishers often don’t profit from their contributions. Publishers and commenters can now **earn crypto** each time they receive an upvote on their articles or comments.

Drawing inspiration from platforms like YouTube, where paying creators has led to higher-quality content, we believe that our up-voting system can **attract knowledgeable publishers** who are motivated to share their best work. By earning through upvotes, they have the potential to generate income based on the community’s appreciation of their insights.

We then use these articles and comments to **enhance our AI model**, enabling it to provide smarter responses informed by community-driven content. This creates a decentralized AI chat-bot that develops opinions based on community feedback and customizes its answers to suit each user, allowing for a more dynamic, community-guided experience.

## How It Works:

* **Earning Through Upvotes**: Users upvote articles and comments, directly rewarding creators in cryptocurrency. Upvotes serve as tips and indicate respected content.
* **AI-Powered Content Curation**: Our AI chatbot acts as a customized search tool, gathering top responses from the forum and adjusting answers to suit each user’s needs.
* **Community-Driven Learning**: Users can explore original forum articles and comments, allowing them to engage with collective knowledge. This shared effort improves AI responses, as the model learns to prioritize respected, accurate information.

### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Tokenomics</strong></td><td>Made for success</td><td></td><td></td><td><a href="/pages/Dn4rZYpEFWjLpksLuwYy">/pages/Dn4rZYpEFWjLpksLuwYy</a></td></tr><tr><td><strong>Our Team</strong></td><td>The team behind VELANOVAi</td><td></td><td></td><td><a href="/pages/dmTzMk7HOyw8EZazgPkb">/pages/dmTzMk7HOyw8EZazgPkb</a></td></tr><tr><td><strong>PassCards</strong></td><td>Utility &#x26; function</td><td></td><td></td><td><a href="/pages/MnWP8JenUuHiHYPQNWYS">/pages/MnWP8JenUuHiHYPQNWYS</a></td></tr></tbody></table>


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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://docs.velanovai.com/velanovai/readme.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.