I work in manufacturing and would like to use LLMs for scenarios where there's obviously still rules for what should happen next, but there's just so many variables that I can't just code it into a decision tree easily.

As an example: I could have something I'm building fail. If I take a picture of it, can I see that it's

1) a false failure

2) salvageable

     2a) decision-tree for *who* to send it to for reworking things

As I think of the above decision tree, I see some problems where I'm just asking myself, "why wouldn't I just use <insert a lot of options you can probably guess here>?".

I'll be honest, I think right now decision models are in a "solution looking for a problem stage", but I think there's opportunity still.