AI+Web3 is a hot topic in the community. But most people are still just talking about vague future visions. However, one project is different—it has moved beyond idle speculation and is actually building something: a set of underlying infrastructure that enables AI autonomous agents to truly work, earn money, and participate in value exchange.

This idea is actually quite straightforward: in the future, AI will not be just tools for humans, but new species in the digital world. They need a dedicated economic system designed specifically for machines, rather than rigidly applying the old, cumbersome, and inefficient human-centric methods with layered approvals. Addressing this fundamental mismatch is the core problem to solve.

**From Passive Execution to Active Economic Participation**

This project views AI agents differently—they are not one-time task machines but persistent entities with clear goals, resource control, and the ability to collaborate in complex ways. In other words, an AI agent can autonomously complete the entire process: pulling data, paying costs, calling services, executing transactions, and even bargaining with other agents. All actions are automatically performed according to preset rules and transparent logic, without human approval at every step.

**Key Challenge: How to Establish Trust**

The biggest challenge for autonomous systems is how to build trust. The project addresses this with three design principles: every operation of each agent leaves an on-chain record—what was done, how much was spent—fully transparent, with no black boxes. Permission management is also clear—what each agent can do, how many resources it can call—explicitly defined and locked in black and white. This way, trust and control logic are hardcoded, making the entire system both flexible and controllable.