> For the complete documentation index, see [llms.txt](https://docs.liveart.xyz/liveart/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.liveart.xyz/liveart/introduction/products/ai-powered-tokenization-and-fractionalization.md).

# AI-Powered Tokenization & Fractionalization

### **AI Agent**

* AI-Driven Asset Discovery: Top-quality assets **(art, watches, classic cars, fine wine, jewelry, etc.)** are sourced from a global network of collectors, dealers, and auction houses.
* The **LiveArt AI Agent** continuously scans the market, analyzing historical performance, demand trends, and proprietary pricing models to identify high-value opportunities.

<figure><img src="/files/M3kN9TaNF4Rbjp3NAbit" alt="" width="563"><figcaption></figcaption></figure>

### AI-Powered Tokenization

* LiveArt tokenizes these assets into **Shards**, each of which is a **digital collectible** with embedded utilities.&#x20;
* Shards associated with each asset contain an **Asset Token,** an ERC20-compatible token, whose initial value is derived from the pro-rata share of the asset’s sale price, with **AI-assessed risk-adjusted valuation models** providing additional price transparency.

<figure><img src="/files/VRs74RV7ZT3IKhMbx0XW" alt="" width="563"><figcaption></figcaption></figure>

### **AI-Enabled DeFi & Structured Products**

* Additional products on the [roadmap](broken://pages/vHBFpekFdvM4eyhJM5nW) include **RWA indices, funds, derivatives, and on-chain structured financial products**, with **AI-generated portfolio allocation models** guiding investment strategies.
* AI-powered **institutional analytics** optimize fund performance and risk exposure.

<figure><img src="/files/GeIouWjvfjfZjk9NjBag" alt=""><figcaption></figcaption></figure>


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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
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://docs.liveart.xyz/liveart/introduction/products/ai-powered-tokenization-and-fractionalization.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.