Recently, everyone has been talking about AI agents automatically working on the chain, honestly saving quite a bit of effort, but I still feel uneasy about fully letting go. For example, the authorization step—no matter how smart the agent is, it's hard for it to judge whether "this contract is worth giving unlimited access," and once signed incorrectly, it's irreversible; there are also cross-chain/bridge issues, like getting stuck, rolling back, or even falling for phishing scams—ultimately, a person still needs to monitor and handle these details. Not to mention parameter settings, slippage, gas, batch ordering—agents can follow rules, but the rules themselves need to be thought through by humans, or else it just becomes automated trap-setting.

Additionally, these days, some people are watching large on-chain transfers and fluctuations in exchange hot and cold wallets, interpreting them as "smart money" moves. I feel that agents are even more prone to being influenced by this noise: they chase signals once they see them but can't understand that behind the scenes, it might just be internal rebalancing. Anyway, my current approach is still small-scale experiments, personally overseeing key actions (authorization, withdrawal, cross-chain transfers) to avoid waking up in the middle of the night and realizing I’ve been paying tuition to the machine.