> For the complete documentation index, see [llms.txt](https://brett-miner-1.gitbook.io/brett-miner/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://brett-miner-1.gitbook.io/brett-miner/guides/ai-integration.md). # AI Integration **Why use the AI Assistant?** * **Plan Effectively:** Learn when and how to compound your rewards for the highest returns. * **Brett Maximalist Approach:** The AI is built to highlight the benefits of holding and supporting $BRETT for long-term gains. **Maximizing Rewards!** * The assistant helps you strategize around the optimal compounding approach—whether it's the classic 6 days compounding, 1 day claiming strategy, or adapting to TVL changes. **What happens if TVL fluctuates?** * The AI Assistant will guide you through these changes, showing how a lower TVL allows for a more advantageous entry point, with the potential to accumulate more miners for future gains. It’s all about maintaining system balance and maximizing your investments. **How does it encourage $BRETT loyalty?** * The AI Assistant embodies a **$BRETT maximalist philosophy**, promoting strategies that not only grow individual rewards but also strengthen the ecosystem. By aligning personal and project goals, it ensures sustainability and growth for all participants. **Try it Now!** * Simply interact with the AI assistant within the dApp, and let it guide you to success in the BrettMiner universe. Together, let's maximize your earnings and amplify the power of $BRETT! --- # 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: ``` GET https://brett-miner-1.gitbook.io/brett-miner/guides/ai-integration.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.