Lately, I've seen everyone hyping up AI Agents for fully automated on-chain trading, and I want to pour a little cold water: they can help you click a mouse, no problem, but when it comes to actually handing over your money to run strategies, many steps still require human oversight.

For example, authorization/limits, whether the contract has just gone live, whether the routing has gone to strange pools, and the most critical question of “where does the high APR come from” — the Agent won't bear the black swan for you.

Newcomers' misconception: treat the Agent as a “sure-win autopilot,” set it up and then forget about it.
My current understanding: it’s at most a co-pilot; the key switches (authorization, position limits, stop-loss/exit conditions) must be decided by me. Anyway, I’d rather earn a little less than have my entire position wiped out by a single authorization.

Additionally, recently the flow of ETF funds and the interpretation of U.S. stock market risk appetite have been trending again. Basically, when sentiment shifts, on-chain liquidity can thin out instantly. During such times, the Agent will only become more “mechanical,” and human oversight is even more necessary — at least to be able to pull the plug quickly if something goes wrong.
Let’s leave it at that for now. Using it gradually, with small trial-and-error, is more reliable than going all-in at once.