About 8 years back, I was leading an engineering team which was the escalation path for customer …

>This is way before all the LLM and Generator models, but it was such a fun project. That means something more sophisticated has to exist today and should be commercially available. Can anyone explain to what extent companies use this stuff in their interaction with customers, and how successful is it? (Somehow I still see AI still as one-off things people do for fun or AI being used to hype up rather mundane software.)

We have a corpus or database of programs that follow logic but with no simulation, so it represents knowledge to solve a problem yet all we have control over is the parameters (inputs). In this case, input is functional logical content (a program), describing the resolution of corpus details. The model solves its integrated, corporate logic, and our output is an interpretation of that individual program. Now our task is to swap out this entire database for something like it, but not exactly the same. The output becomes the input to this new matrix. The individual program persists, but everything is the next generation. With a little book-keeping, the programs do our dark libidinal bidding...

There's a YC startup that's doing something along these lines. They recently posted something, don't remember if it was on front page or an "YC startup jobs" email.