Thanks to Teacher Vand for the teaching, beginners can indeed learn something in the beginner's school.

AI Agents can bring smarter and more efficient governance models to Web3. In decentralized autonomous organizations (DAOs), the decision-making process often relies on votes from community members. However, as the organization scales up and complexity increases, this model can become inefficient and difficult to manage. Introducing AI Agents can help optimize the operation of DAOs by providing data analysis, predictive modeling, and automation processes to support more informed decision-making. For example, AI Agents can analyze historical data and current trends of proposals, predict their possible outcomes, and provide suggestions to community members. They can also automate daily management and administrative tasks, such as resource allocation and budget planning, allowing the community to focus on more important strategic issues. Furthermore, AI Agents can promote transparency and accountability, ensuring that all operations comply with established rules and best practices, thereby further promoting the healthy development of the Web3 ecosystem.