If you run AI agents for your business, how do you know what they did yesterday?
A business owner asks how non-developers keep track of what their AI agents actually did — reading logs, getting summaries, spot-checking, or just trusting them. The thread surfaces a practical pattern: exception-based review, where agents write a short daily digest and humans only dig into the full trace when something looks off.