> For the complete documentation index, see [llms.txt](https://funganomics.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://funganomics.gitbook.io/whitepaper/future-releases/ai-integrations.md). # AI Integrations We see AI as the perfect integration into our ecosystem, providing real use case to Fungatopia, FGS Games and Fungality. AI is still in its infancy with real use case still to be developed within blockchain and real world solutions. Funganomics can use AI to provide better user experience within NFTs, Gaming and AR to better serve its users. We expect AI integrations use cases to build as the technology advances. AI technology has a broad use case within blockchain technology. Funganomics can easily integrate AI within our NFTs, Games, Virtual Worlds and Augmented Reality! This provides a unique and exhilarating experience for both gamers and developers. --- # 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://funganomics.gitbook.io/whitepaper/future-releases/ai-integrations.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.