I’ve been thinking about this after seeing so many impressive agent builds lately. It’s pretty easy to get excited when an agent can browse, use tools, send messages, update a CRM, or even hand work off to another agent. But I think the interesting part starts after the demo. What happens when the agent makes a mistake? What happens when a client changes something in their process? Where does the context live? Who checks whether the task was actually completed? And if something fails at 2am, does the system recover or does someone get a notification and become the human fallback? That seems to be where the difference between “I built an AI agent” and “I’m running an AI system for a business” starts to show. I’m curious how everyone here is approaching this. At what point do you personally consider an agent production-ready rather than just a really good demo?