> For the complete documentation index, see [llms.txt](https://litepaper.newwit.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://litepaper.newwit.com/newwit-ai/future-applications.md). # Future applications Once the AI model is sufficiently trained, Newwit will develop future applications upon the model. Future applications include business intelligence, market prediction services and other prediction related applications. Revenue from these business services will be distributed to WIS holders. Newwit will also develop a robo-trading algorithm which will use Newwit's accurate prediction model to make investments and generate returns for $WIS holders. WIT and $WIS are generated by a meaningful gameplay with real world relevance and also a process to train the AI model. All the future applications make $WIS a token with real intrinsic values as holders are entitled to the value creation and revenue distribution from the AI model applications. --- # 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://litepaper.newwit.com/newwit-ai/future-applications.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.