In the early hours, I played with a few experimental interactions of AI Agents, and honestly, it feels rather subtle. The protocol interfaces are standardized—the robots can read signatures, run fast, and it’s convenient—but once they run into “black swan–level parameters,” they fail. For example, a governance vote suddenly inserts a hidden condition, or the oracle’s price quote is delayed by half a beat. On-chain data tools now have more tagging systems, but lately, hasn’t it been the case that nobody has uncovered a bunch of “smart money” addresses that are actually wrapped in several layers of fake labels? That kind of lag—once an Agent relies on it to execute stop-losses or lending—is a chain-reaction blowup. Anyway, I think the “dirty work” involved in cross-chain bridge asset generation or in new-protocol liquidity pools needs to be inspected by humans who recursively trace the on-chain activity, because robots can’t make sense of those messy books. At least right now, around 3 a.m., I don’t trust pure machines to be the fallback.