> For the complete documentation index, see [llms.txt](https://vision-space-whitepaper.gitbook.io/vision-space-usdvs-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://vision-space-whitepaper.gitbook.io/vision-space-usdvs-whitepaper/introduction-vision-space.md). # Introduction: Vision Space "VisionSpace" is an innovative and immersive MMORPG spaceship game that pushes the boundaries of gaming technology. Powered by Unreal Engine 5, this game leverages new technology to deliver a groundbreaking gaming experience. Explore the vastness of space, engage in epic battles with AI enemies, and unleash your creativity with VR and AR capabilities. Get ready to soar to new heights with spaceship NFTs and utilize the VisionSpace token ($VS) to upgrade your spaceships and weapons.\ \ The token value is a key feature to what we are building here! By revolving an everlasting ecosystem surrounding our token we are here to stay and continue to develop. --- # 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://vision-space-whitepaper.gitbook.io/vision-space-usdvs-whitepaper/introduction-vision-space.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.