# Pundi AI MM Agent The current Automated Market Making (AMM) systems, even with advancements like concentrated liquidity pools, suffer from significant limitations. They fail to fully utilize capital and capture market opportunities effectively, especially under volatile conditions. Traditional Market Makers (MMs) outperform AMMs in terms of flexibility, risk management, and efficiency but remain centralized and resource-intensive. The AI MM Agent aims to combine the strengths of both approaches, delivering a next-generation liquidity solution. The AI MM Agent revolutionizes liquidity provision by combining the flexibility of traditional MMs with the accessibility of AMMs. It addresses capital inefficiency, adapts to market volatility, and unlocks new revenue streams through MEV. This hybrid model promises to redefine DeFi liquidity, making it more efficient, profitable, and inclusive for all participants. By leveraging AI, the next generation of market-making solutions can meet the demands of a rapidly evolving financial landscape, where decentralized liquidity becomes a cornerstone of global finance. > Note: internally Pundi AI MM Agent was project-named as Pundi Fun, hence you might come across both terms and they mean the same thing. --- # 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://pundi.gitbook.io/pundi/pundi-ai-mm-agent.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.