Thanks to Teacher Van for the sharing. From another perspective, the role of the AI Agent in Web3 is more like an intelligent bridge that connects and enhances the interactive experience between users and decentralized applications (DApps). By introducing advanced data analysis and automated decision-making into the Web3 environment, AI not only simplifies user operations but also unlocks new interaction and service models.

From this perspective, the AI Agent acts like an invisible assistant that works silently in the background to ensure users receive the most relevant and optimized services. For example, in decentralized markets, AI can automatically find the best products or services for users and even predict future market trends; on social platforms, it can intelligently recommend content or contacts based on user interests, fostering more meaningful community engagement.

At the same time, the AI Agent also plays the role of a trust builder, especially in situations involving data privacy and security. It can identify potential risks through complex data analysis and take preventive measures to protect user information. Moreover, for users who are not very familiar with technology, the intuitive interface and guided assistance provided by AI greatly lower the barrier to entry, allowing more people to engage in the world of Web3.

In summary, the AI Agent is not just a technical tool; it is one of the key driving forces pushing Web3 toward a more user-friendly, secure, reliable, and efficient direction. This intelligent presence makes Web3 not just about technology and protocols, but also about how to leverage these innovations to improve people's quality of life and ways of communication.