Previously, we always regarded "smart execution" as an acceleration engine, but when we shift our perspective back to the entire Web3 ecosystem, we realize something particularly important – in the future, not only will users rely on AI agents, but exchanges, Wallets, DeFi, clearing engines, and enterprise applications will also fully adopt automated execution.

Imagine a scenario like this: the exchange allows agents to monitor prices for you, automatically place orders, dynamically adjust leverage, intelligently replenish positions, and set trailing stop losses; DeFi protocols let agents mine, transfer assets, and manage liquidity on your behalf; corporate treasuries use agents to execute budgets, mobilize funds, and allocate profits for the team. In this way, the density of on-chain activities will be pushed to an unimaginable magnitude.

But there is an essential question here: with so many agents executing tasks on the chain simultaneously, who regulates their behavior?

This is not a punishment issue, but a structural issue. Without a foundational framework to limit the agents' overreach, these systems will eventually be burdened by the automation they introduced themselves. This is why a regulatory layer specifically designed for the "Agent High-Speed Behavior System" is needed.

The exchange is the most typical example. In the past, trading actions were all manually operated, with risks and rhythms designed according to human behavior. However, once agents start executing strategies for users in the future, order placement could directly become at the level of seconds or even milliseconds. The volume of actions that the system has to bear will grow explosively, and these actions may not all go through complete permission verification. For example, after an agent obtains user authorization, is there a possibility of exceeding the boundaries of that authorization?