Don't laugh at me, I think watching AI Agents on the blockchain operate is a bit like watching a novice learn short-term trading... Their hands are quick, but they are easily deceived by the order book. To put it plainly, the three most critical aspects in on-chain interactions are: first, authorization and routing—agents really tend to authorize infinitely to save a step, and if something goes wrong later, who takes the blame; second, invisible costs like slippage/MEV—these only recognize parameters, not emotions—when encountering fake liquidity, a quick withdrawal hits you in the face; third, emergency brakes—such as contract upgrades, RPC disruptions, or bridge freezes—agents might still be running according to the script, but humans need to be able to stop with one click.

During the recent extreme fee wave, whether the group argued about reversal or continued to squeeze the bubble, I actually think that at such times, full automation is even less appropriate: the order book thickness fluctuates—sometimes piling up, sometimes pulling back—fake liquidity is too theatrical. If the agent only looks at indicators, it can easily interpret them as signals, resulting in chasing the bubble. Anyway, my current approach is to let it do the heavy lifting (monitor on-chain, calculate routes, split orders), and I handle the final confirmation and authorization myself to save some mental effort.