The integration of blockchain and AI has remained a hot topic over the past two years, but there are still few projects that truly combine the two with innovative ideas. Recently, I came across an interesting case called "AI Payment Blockchain." At first glance, the concept sounds grand, but the implementation approach is quite solid—the core is to build an agent network that allows users to seamlessly invoke various AI agents within commonly used applications to complete daily tasks such as shopping, ride-hailing, and reservations. The entire process requires no switching between apps, and payments are handled automatically. Honestly, this is somewhat like turning the intelligent assistants from sci-fi novels into a practical reality.

From a technical perspective, this project takes a pragmatic route. It chooses an EVM-compatible Layer1 as the infrastructure, leveraging Ethereum’s mature ecosystem on one hand, and on the other, making customized optimizations for high-frequency interactions and real-time payments related to AI agents. More notably, its identity system design separates the handling of users, agents, and sessions. This fine-grained identity isolation not only enhances security controls but also adds an extra layer of privacy protection. Imagine when AI agents can negotiate and make payments autonomously—without clear permission boundaries and identity management, system chaos and risks could be significant. The forward-thinking design in this aspect makes the project appear quite mature.

The project emphasizes three main pillars: identity authentication, governance mechanisms, and agent payments. Among these, the design of the payment system around AI agents involves transaction verification, risk management, and multi-signature mechanisms—details that are precisely the issues that must be addressed in the era of autonomous agents. Overall, this type of project is paving the way for the upcoming AI agent economy.