Lately, watching AI agents run on-chain interactions, it feels like "autonomous driving + manual takeover at any time"... I'm tired but still watching. To put it simply, most automated tasks are mechanical: checking balances, price comparison, routing splitting, slippage calculation, and even batch trading based on strategies; but when something really goes wrong, humans still need to cover the safety net.

Several steps that must be monitored by humans: 1) Permissions/authorizations, especially unlimited ones—no matter how smart the agent is, it can still be tricked into making mistakes; 2) Contract interaction targets—address or proxy contract shell swaps are very common; 3) Parameter boundaries—slippage, deadline, gas limits—if not set properly, it’s like "automatically sending money away"; 4) Exception handling—getting stuck, rolling back, MEV sandwiching—strategies need to be able to stop.

Recently, social mining and fan tokens—those "attention is mining" schemes—are quite similar: agents can help you scrape data, run tasks, but whether it’s a valid concept or not, you still need to think clearly about what you want. Otherwise, attention becomes the one being mined. Anyway, I’ve gotten used to this approach: the agent handles execution, I only keep the final confirmation and emergency stop. Let’s start with that.