> For the complete documentation index, see [llms.txt](https://starkmeta-1.gitbook.io/starkmeta-wp/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://starkmeta-1.gitbook.io/starkmeta-wp/readme.md). # Whitepaper StarkMeta's white paper outlines a groundbreaking decentralized gaming ecosystem powered by the $STARK token, featuring AAA-quality graphics, AI-driven gameplay, and XR integration, designed to reward players through a play-to-earn model and sustainable DeFi economy. StarkMeta aims to revolutionize gaming by integrating Unreal Engine 5, GPT-4 AI, and blockchain technology to create an immersive, dynamic decentralized gaming experience. The game offers next-gen graphics, AI-driven NPC interactions, and XR multiplayer to provide players with an unpredictable, evolving world and deep immersion. StarkMeta’s native token ($STARK) powers the ecosystem, serving as the primary currency for transactions, rewards, and staking, with a focus on play-to-earn mechanics. The tokenomics include a total supply of 100 million $STARK tokens, distributed across various segments, with specific vesting periods to ensure long-term sustainability and community growth. The game’s economy is supported by DeFi features, including staking, yield farming, and governance, allowing players to participate in the game’s financial and decision-making aspects. --- # 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://starkmeta-1.gitbook.io/starkmeta-wp/readme.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.