> For the complete documentation index, see [llms.txt](https://docs.facialdnai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.facialdnai.com/introduction/readme.md).

# Welcome

## FacialDNA AI — The AI FaceIP Agent Platform

FacialDNA AI is a decentralized platform where anyone can create unique AI-generated Face IPs, register them as on-chain intellectual property, and deploy autonomous agents that earn advertising revenue across global markets.

{% hint style="info" %}
**FDN Token Launch:** The FDN token is planned for Q4 2026. Start earning points now to maximize your airdrop allocation!
{% endhint %}

### Quick Links

* **dApp:** [app.facialdnai.com](https://app.facialdnai.com)
* **Website:** [www.facialdnai.com](https://www.facialdnai.com)
* **Chain:** Kaia Mainnet (Multi-chain expansion planned)
* **Token:** FDN — 10,000,000,000 total supply
* **Token Launch:** Q4 2026

### What is FacialDNA AI?

FacialDNA AI combines proprietary AI face generation with blockchain-based IP registration and autonomous agent technology. The platform enables:

* 🤖 **AI Face IP Generation** — Proprietary 5-stage pipeline for high-quality, unique Face IPs
* ⛓️ **On-chain IP Registration** — Register Face IPs on Kaia Mainnet with smart contract licensing
* 🤝 **Autonomous FaceIP Agents** — AI agents match Face IPs to advertisers and negotiate revenue deals
* 💰 **B2B Revenue Sharing** — Top creators earn from real brand advertising campaigns
* 🪙 **FDN Token Economy** — FDN powers access, governance, and ecosystem growth


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# 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
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.facialdnai.com/introduction/readme.md?ask=<question>
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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.