> For the complete documentation index, see [llms.txt](https://airas.gitbook.io/airas/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://airas.gitbook.io/airas/faq.md). # FAQ Below are some of the most common questions we receive. If you don’t see your question here, feel free to reach out on Discord or GitHub. #### 1. Why combine AI with real-world assets? AI can automate data collection, offer predictive analytics, and reduce manual overhead. When applied to tokenized assets, it helps streamline everything from price discovery to regulatory compliance. #### 2. Is Airas Network open source? Yes! Much of our tooling, like Airas Agent, is open source. Airas Assistant will also have an open source version soon, so the community can customize and build upon it. #### 3. Do I need advanced AI knowledge to use these tools? Not necessarily. Airas Agent and Assistant are designed to be user-friendly, even if you’re not an AI expert. You can simply set goals or ask questions and let the tools do the heavy lifting. #### 4. How does Airas Network relate to Polygon zkEVM? Airas Network is built on top of Polygon zkEVM for scalability and security. This gives you low fees and high throughput, ideal for real-world asset transactions and AI-driven tasks. #### 5. Can I use these tools for non-financial projects? Absolutely. While we specialize in real-world assets, you can leverage Airas Agent and Assistant for any AI-driven or blockchain-related use case—from e-commerce to logistics. #### 6. Where can I find more technical documentation? Check out our GitBook sections on **Core Concepts**, **API Reference**, and **Best Practices**. For code-level details, head over to our [GitHub](https://github.com/airas-network). *** If you have further questions or need more detailed support, our community is here to help. Don’t hesitate to reach out, share your use cases, or propose new ideas. Together, we’ll shape the future of AI-driven real-world asset management! --- # 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://airas.gitbook.io/airas/faq.md?ask=&goal= ``` `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.