> For the complete documentation index, see [llms.txt](https://docs.iotex.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.iotex.io/realms/realms.md). # Realms Realms are dynamic, continuously evolving knowledge bases that integrate real-time insights from both machines and humans. Each Realm is designed around a specific domain or industry, serving as a collaborative physical intelligence network. By structuring real-world data and augmenting it with human input, Realms deliver actionable intelligence that powers both existing AI agents and the training of future physical AI systems. ### Purpose of Realms \ Each Realm exists to: * Provide AI agents with real-time contextual awareness and a form of sentience * Train physical AI models to navigate, respond to, and interact with real-world environments ### Realm Structure Realms are open yet curated ecosystems, compartmentalized by the type of data or industry they support. They include contributions from both machines and humans, forming a symbiotic loop of data generation and refinement. ### Impact Realms represent a scalable, modular foundation for the future of physical intelligence. They bridge the gap between digital predictions and real-world execution, enabling a world where: * Every action is informed by current, reliable data * AI operates with an unprecedented level of environmental and contextual awareness ### Summary Together, Realms create an expansive, modular, and scalable foundation for the future of physical intelligence—a future where every decision, action, and interaction is informed by the most current and accurate understanding of reality itself. --- # 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.iotex.io/realms/realms.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.