# Advanced Personalization **The Problem:**\ \ Traditional investment tools often offer a homogeneous experience that does not cater to the diverse objectives, risk tolerance, and personal preferences of individual investors. This can lead to suboptimal decisions if recommendations do not align with the user’s specific needs. **The Solution:**\ \ Agent Mimi AI uses advanced machine learning algorithms to provide personalized insights tailored to each user's interactions and preferences. The platform adjusts its suggestions based on the investor's profile, delivering well-founded recommendations that support informed decision-making.\ \ \&#xNAN;*Example:* Two investors with different risk profiles will receive tailored insights—one may get more conservative suggestions while the other receives strategies oriented toward higher returns, always justified with data and analysis. --- # Agent Instructions: 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://project-agent-mimi-ai.gitbook.io/mimi/features/advanced-personalization.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.