Recently, watching AI agents run on-chain interactions, I feel they can indeed handle the "clicking buttons" part quickly and steadily, but when it comes to critical steps, humans still need to take the final responsibility. For example: how much authorization limit to give, whether to sign a long-term allowance; what strange contracts are embedded in the routing; and cross-chain, re-staking, and other layered profit stacking, which can get pretty noisy. To be honest, the risk models for these are not necessarily understood; the agent just follows the "higher yield" and takes the shortest path.

I now treat it as a practice tool: let the agent be responsible for executing fixed rules (small amounts, whitelist, one-time signing), while humans only monitor anomalies and boundary conditions. It’s also about trading psychology—don't always think about "beating the market," but more about practicing not to act rashly: when you see layered profits and get greedy, first ask yourself, "Can I sleep through the worst-case scenario?" If yes, sign; if not, forget it.