r/AutoGenAI

When choosing between AI agents, most of the focus seems to be on the model they're using or what they can do in a demo. But I'm curious whether a history of actual performance would change how much you trust an agent.

I have found a lot of exciting ideas while searching on AI agents, but building the real systems often changes our perspective. So, I am curious was there a pattern, framework, or design decision that you expected to work well but turned out to be less useful in production? And what did you get from that experience