Recently, everyone has been talking about AI agents going directly on-chain to do work. Honestly, I don't quite believe they can operate in a fully automated closed loop. The most critical issue in on-chain interactions is "unexpected situations": accidentally granting too much authorization, interface changes after contract upgrades, routing to strange pools, and those signature pop-ups that look normal but are actually phishing... These steps really need someone to backstop them, at least someone to keep an eye on the final signature and permission boundaries. Otherwise, if something goes wrong, don’t blame it on “model hallucination.”

And then there's governance. Agents can help you read proposals and gather data, but whether to vote yes or no often isn't a logical problem—it's about human relationships and execution costs. Recently, the market's rate cut expectations have been fluctuating, and the narrative that the dollar index and risk assets rise and fall together has resumed. When market sentiment shifts, the agent might still be running on the old script. Anyway, my current habit is: automation is fine, but the key buttons should be left to humans. If it’s slow, so be it. At least I can sleep peacefully.