Yup! And this is a genuinely hard problem when you try to apply agents to domains other than coding. With coding, you can easily rollback. But in other domains, you take action in the real world and that's not easy to rollback.

We're thinking a lot about how we could provide a "Convex" like experience where we guide your coding agents to set up your agents in a way that maximizes the ability to rollback. For example, instead of continuously taking action, it's better that agents gather all required context, do the work needed to make a decision (research, synthesize, etc.), and then only take action in the real world at the end. If an agent did bad work, then this makes it easy to rollback to the point where the agent gathered all the context, correct it's instructions, and try again