> There needs to be a rigorous process behind it, and I think we'll agree on that too.

I would simplify it to: “I have a setup” is the part that is doing the actual heavy lifting.

From my very unscientific survey / extensive pestering of network, the only people getting lift out of AI are people with both domain expertise/experience and familiarity with the tooling.

The types of automation I see people wanting though are fully automated customer support systems, fully automated document review - essentially white collar dark factories. (Hey thats a good term). The need is for a process that is stable, and behaves the same way every time.

It seems actual AI use cases are more like sketching - if you have enough skill you can make out the rough sketch is unbalanced and won’t resolve into a good final piece. Non experts spend far more time exploring dead ends because they don’t have the experience.

In my opinion, it’s a force multiplier for experts or stable processes, and it’s presented as Intelligence.

I feel your examples fit within these boundaries as well as the ones you have described.