> For the complete documentation index, see [llms.txt](https://xignal.gitbook.io/xignal/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xignal.gitbook.io/xignal/introduction/welcome-to-xignal.md). # Welcome to Xignal Welcome to Xignal, a Web3 strategy game where you build your own AI Agent, compete with other players, and push your system to its limits. Build a powerful AI Agent with rare Hardwares and specialized AI Skills. Complete increasingly demanding Tasks, collect and trade digital Assets, craft valuable hardware, and constantly optimize your build to stay ahead. The stronger your Agent becomes, the greater the opportunities. Better configurations unlock more demanding Tasks, greater rewards, and more chances to obtain Xignals, one of the most valuable Assets in the game. Get Xignals. Use Extract to commit them to reward Pools. Every Xignal gives you another entry and another chance to become a winner. There is no perfect build and no guaranteed path to the top. Your Hardwares, Skills, resources, and decisions define how far your Agent can go. --- # 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://xignal.gitbook.io/xignal/introduction/welcome-to-xignal.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.