> For the complete documentation index, see [llms.txt](https://moongate.gitbook.io/moongate-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://moongate.gitbook.io/moongate-litepaper/our-infrastructure/ai-agent.md). # AI Agent **Personalized User Experience:** * Our AI Agent, powered by state-of-the-art large language models like GPT-4 and Google Gemini, delivers hyper-personalized recommendations to consumers. This advanced system analyzes users' MoonPass assets, credentials, and interaction history to curate the most relevant rewards. The AI continuously learns and adapts, ensuring that each user receives tailored suggestions that align perfectly with their preferences and engagement patterns. **Actionable Brand Insights:** * Our AI-driven analytics harness the capabilities of cutting-edge models such as Claude 3 and Llama 3 to provide brands with unprecedented depth in pattern recognition and trend forecasting. These powerful tools analyze vast amounts of data to uncover hidden trends, predict consumer behavior, and optimize smart token campaigns. By leveraging these insights, brands can significantly increase the impact of their campaigns and boost conversion rates, turning data into tangible business outcomes. --- # 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://moongate.gitbook.io/moongate-litepaper/our-infrastructure/ai-agent.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.