# Airas Assistant

### Overview

Airas Assistant is your AI chat companion, designed to answer questions about real-world assets, blockchain, and beyond. It’s like a specialized ChatGPT that can guide you through everything from tokenizing property to analyzing market trends.

### Key Features

* **RWA-Focused AI**\
  Optimized for discussions around real estate, commodities, and financial regulations.
* **User-Friendly Interface**\
  Simple chat-based Q\&A for quick, contextual answers.
* **Open Source Roadmap**\
  Soon, you’ll be able to fork and customize it for your own asset management platforms.
* **Real-Time Insights**\
  Hook into on-chain data to get the latest updates on prices, yields, or contract statuses.

### Setup

* **Beta Access**\
  Keep an eye on Airas Assistant for beta invites and official launch details.
* **Open Source Release**\
  Plans to open source the Assistant will let you self-host or integrate it directly into your dApp.

### Usage

1. **Ask Questions**\
   For example: “What are the top 3 tokenized real estate platforms?” or “How do I create a fractional NFT for gold bars?”
2. **Explore Contextual Answers**\
   The assistant provides step-by-step explanations, references, and best practices.
3. **Follow-Up**\
   Ask follow-up questions for deeper insights, code snippets, or regulatory considerations.

### Example Interactions

* **Contract Queries**\
  “Show me a sample ERC-721 contract for real estate tokens.”
* **Regulatory Guidance**\
  “Which jurisdictions are friendly to asset tokenization?”
* **Asset Comparison**\
  “Compare the ROI of tokenized commercial property vs. tokenized precious metals.”

### Next Steps

* Integrate with **Airas Agent** to automate tasks based on chat outputs (e.g., “Go scout these listings.”).
* Connect to **Airas Cloud** for data-heavy analyses or large-scale simulations.
* Share your feedback on Discord to help shape new features.


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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://airas.gitbook.io/airas/products/airas-assistant.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.