>It takes care and careful engineering to produce good results. One must work to keep the models within the flight envelope. One has to carefully structure the problem, provide the right context and guidance, and give appropriate tools and a good environment. One must think about optimizing the context window; one must be aware of its limitations.
In other words, one has to lean into the exact opposite tendencies of those which generally make people reach for AI ;)
I'm not sure there is a "normal" tendency to reach for AI. But there is certainly parallel in that, say, javascript and PHP have a reputation of being preferred by barely able people who make interesting and useful things with atrocious code.