The interesting part is that multiple agents could make the backend more powerful, but they might also make the user experience more complicated. If users have to think about which agent to use, some of that simplicity is lost.

I think the real test is what happens as the agent becomes more complex. Saving time during setup is useful, but being able to monitor conversations, spot problems, and improve the agent from one place could be even more valuable.

I like the point about consistency. Saving time is easy to measure, but having the same process followed reliably every time could have a much bigger impact on how a team operates.

The “teammate” comparison is interesting. Once users start relying on AI agents like teammates, reliability and knowing when to involve a human become just as important as the features themselves.