The application scope of AI agents is continuously expanding. Now, it is possible to build specialized agents tailored to the decision-making styles of well-known investors—such as value investing analysis in the style of Buffett, Ackman's hedging strategy thinking, or Wood's growth-oriented investment perspective. In the blockchain field, dedicated development agents can be deployed for protocol optimization, while operational agents handle security and operational security (OpSec) issues. At the same time, the demand for prediction markets has led to the creation of specialized prediction agents, which assist decision-making through data analysis and market signal recognition. From payment convenience to information aggregation and risk prediction, these functional agents are becoming key infrastructure in the crypto ecosystem and fintech, demonstrating AI's enormous potential in automation and process optimization.