> For the complete documentation index, see [llms.txt](https://whitepaper.xiex.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.xiex.io/usdgmm-token/gamium-ai-credits.md). # Gamium AI Credits Interacting with **Gamium’s AI features** requires **AI Credits**, the platform’s internal resource used to run computational and analytical tasks.\ Instead of charging users in fiat or external tokens, Gamium employs a **credit-based system** — with **$GMM** at its core — to abstract raw compute costs and streamline payments for all AI-related activity. Charging for AI usage through credits ensures that Gamium’s advanced AI infrastructure is **sustainably funded by active users**, aligning resource consumption with real platform engagement.\ This approach also **prevents abuse** (since credits carry value) and **creates a recurring revenue stream** to continuously expand and refine the AI tools that power the ecosystem. By tying AI Credits directly to **$GMM**, the platform introduces a new and powerful **source of token demand**.\ As Gamium scales, thousands of traders and investors will consume credits daily — from running the **AI Trading Copilot**, to optimizing portfolios with the **AI Optimization Engine**, or generating automated trading logic through the **Code Transformer**. Every one of these interactions requires **$GMM**, increasing token velocity and reinforcing its position as the essential economic driver of Gamium’s ecosystem. In this way, **AI usage becomes directly connected to token utility and ecosystem growth**:\ the more users leverage Gamium’s AI tools to trade smarter, the more **$GMM** flows through the system. > **Gamium transforms AI from a feature into an economy — powered entirely by $GMM.** --- # 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://whitepaper.xiex.io/usdgmm-token/gamium-ai-credits.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.