> For the complete documentation index, see [llms.txt](https://aura-ai-official.gitbook.io/autonomous-unified-resource-agent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aura-ai-official.gitbook.io/autonomous-unified-resource-agent/aura-ai-products/markdown.md). # AI-Agent NFTs **AI-Agent NFTs** At the heart of Aura AI is the concept of **AI-Agent NFTs**, which uniquely represent AI agents as customizable, tradeable digital assets. These NFTs are much more than static tokens; they represent fully functional AI entities. **Key Highlights:** * **Dynamic Attributes:** Each NFT comes with unique attributes like skillsets (e.g., vision, NLP, predictive analytics), power levels, and efficiency scores. Owners can view detailed stats about their AI agents in real-time. * **Custom Training:** Owners can feed datasets to their agents, improving specific abilities. For example, training an agent in medical data can turn it into a healthcare-focused AI. * **Fusion Mechanism:** Owners can merge two AI-Agent NFTs to create a more powerful agent, inheriting the best traits from both. * **Passive Income Potential:** Owners can rent out their AI agents to other users or tasks on the marketplace, generating a steady stream of Aura tokens. * **Agent Lifecycle:** AI agents grow through usage. The more they perform tasks or win battles in the Arena, the more valuable and skilled they become. --- # 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://aura-ai-official.gitbook.io/autonomous-unified-resource-agent/aura-ai-products/markdown.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.