Do AI agents spend more time waiting for humans than actually working?

I've been thinking about this while using coding agents lately. The conversation around agents is usually about model quality, tool use, context windows, benchmarks, etc. But the biggest bottleneck in my workflow often ends up being....me. I'll start an agent on a task, it works for a while, then stops to ask: * Can I run this command? * Which approach do you prefer? * Should I modify these files? * Can I proceed with this change? If I'm at my desk, no problem. If I've stepped away for 20 minutes, the agent can sit idle the entire time waiting for a one-line response. It makes me wonder whether one of the biggest limitations of current agents isn't reasoning capability but human availability. Curious how others deal with this: * Do you configure agents to ask fewer questions? * Do you give broader permissions? * Do you actively monitor them while they're running? * Or do you just accept that agents are still fairly synchronous tools? Feels like we're reaching a point where the agent is often ready to continue, but the human isn't. Is there a solution for this if i am actually using all kinds of models and CLI Agents?