This resonates. I build products on top of LLMs, and the most interesting work I do has nothing to do with AI; it's designing structured methodologies, figuring out what data to feed in before a conversation starts, deciding what to do when the model gives a weak answer. The AI is plumbing.
But nobody wants to hear about prompt calibration or pipeline architecture. They want to hear "I replaced my whole team with agents." The boring, useful work is invisible, and the flashy stuff gets all the oxygen
Now do it with knowledge or causal graphs