AI agents are destined to change the nature of on-chain interactions. An increasing number of on-chain operations will be automatically executed by AI, which is an inevitable trend.

But here comes the problem—AI hates uncertainty the most. If you ask it to complete a cross-chain transaction or settlement task, and it fails due to different sorting logic, network delays, or congestion, how much impact does that have on the costs for AI? Retrying, error fixing, and data rollback are all extra resource consumption.

This is why infrastructure like shared sorting networks is becoming increasingly critical. Their role is to provide AI with a stable, predictable execution environment—regardless of which chain you start from, the sorting rules are consistent, the transaction order is determined, and the network latency is controllable. This way, AI can truly work with peace of mind, and costs can be reduced.

In simple terms, it is to pave the way for AI Agents.