> For the complete documentation index, see [llms.txt](https://sense4fit.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://sense4fit.gitbook.io/whitepaper/resources/anti-cheating-system.md). # Anti-cheating system Sense4FIT has employed the best anti-cheating system within the Fit2Earn decentralized apps. Not only do we use partner technology, but our AI algorithm also acts out as a filter, in order to ensure that rewards are not manipulated and are paid out in a fool-proof way. In this way rewards are paid out on merit, with user progress fairly monetized. Sense4FIT is always looking to implement new technologies, thus enabling even more accurate tracking. The evolution of our devices will be reflected by new trackers that we will be providing users with. As mentioned, users could pair their trackers with additional fitness devices, therefore they could have better results and understand how they fare on their fitness journey. In the medium-term, as technology progresses, we want to implement AR and metaverse infrastructure that could allow users to fully immerse themselves within their workouts. A good example would be an AR mirror connected to the Sense4FIT app and tracker, with a virtual coach, showing you all the necessary movements you should perform. Aided by a camera, the mirror also records your movements and scores you based on the completed fitness exercises, accurately paying out rewards, based on form and movement additionally. --- # 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://sense4fit.gitbook.io/whitepaper/resources/anti-cheating-system.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.