That’s a fascinating observation! When I introspect the same process (in my case, it might be “ask how this person’s diabetic cat is doing”), I find that nothing in the model itself is shaped like a specific reminder to ask about the cat. The way I end up asking is that when there’s a lull in the conversation, I scan the model for recent and important things that I’d expect the person might want to talk about, and that scan brings up the cat. My own generalizations, in turn, likely leave gaps which yours would cover, just as the opposite seems to be happening here.
That’s a fascinating observation! When I introspect the same process (in my case, it might be “ask how this person’s diabetic cat is doing”), I find that nothing in the model itself is shaped like a specific reminder to ask about the cat. The way I end up asking is that when there’s a lull in the conversation, I scan the model for recent and important things that I’d expect the person might want to talk about, and that scan brings up the cat. My own generalizations, in turn, likely leave gaps which yours would cover, just as the opposite seems to be happening here.