That's really interesting. Sometimes it feels like local AI is a new idea, but a lot of the foundations were already there years ago.
The difference now is that the models have become good enough that these kinds of workflows are practical for everyday users, not just research projects.
That's a fair point. A good user experience usually comes from the engineering around the model, not just the model itself.
The AI gets most of the attention, but things like latency, workflow design, context handling, and reliability often make the difference between something people try once and something they actually use.