# How it works ### **Data gathering & Evaluation** We gather data from distinct online sources, then cross-verify it, thus making sure our data is always fully accurate. \ \ That data is then processed on our own AI model — which by the way improves over time — then a general evaluation is both made & given to the user. ### Results The end-user(you) gets an in-depth assessment of relevant data tied to a certain match between teams. Every piece of information is presented to the user in an understandable way, basically serving as a 'DYOR' button.\ \ This is all done automatically, of course. In fact, everything on our project, except the token, is. --- # Agent Instructions: 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: ``` GET https://betai-1.gitbook.io/betai-technical-paper/product/how-it-works.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.