> For the complete documentation index, see [llms.txt](https://fortuna-finance-1.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fortuna-finance-1.gitbook.io/documentation/a.i-yield-aggregator/overview.md). # Overview The main product of our protocol is the AI Aggregator, a system designed to enhance yield generation for our users. This aggregator leverages AI technology to continuously monitor the crypto market, identifying the most lucrative yield opportunities in real-time. By dynamically allocating assets to the most promising pools, the AI Aggregator ensures that users can maximize their returns while minimizing their risk exposure. The role of our AI Aggregator goes beyond mere data analysis; it serves as the intelligent engine driving our commitment to offering yield optimization services. Its ability to adapt to market changes and to determine risk probability sets a new standard in the DeFi sector, providing our users with a significant edge in their investment strategies. --- # 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://fortuna-finance-1.gitbook.io/documentation/a.i-yield-aggregator/overview.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.