> For the complete documentation index, see [llms.txt](https://ai-akita.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-akita.gitbook.io/docs/why-aiakita.md). # Why AiAkita? why AIakita? 🔻Considering the use of artificial intelligence in this project and our particular interest in this industry that defines us as an artificial intelligence project, our team has chosen the prefix Ai for the name of it, which will have a high interaction with the AI industry in the future. 🔻The breed of Akita dog has a lot of loyalty among its family and relatives. The prominent and famous characteristic of this dog is loyalty. One of our reasons for choosing this breed is that we will be loyal to our family members (our community) and we will never leave them and we always want the best for them. 🔻The second reason is the guarding and protective nature of this breed, because it always starts to warn its family with the slightest sense of danger. Our project will always try to protect its family members from the hands of profiteers and scammers. 📍So AiAkita is the best choice! --- # 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://ai-akita.gitbook.io/docs/why-aiakita.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.