One thing I've noticed working with
@poolsideai's Laguna over the weekend is that it seems much less eager to immediately appease the user. Specifically, if a job is running and I insert some tangentially related context, it has a tendency to stay on the original task and respond to the new context whenever it's at a good stopping point. Much less easily derailed than other models.