There's two layers of issues as I see it. First is that most people are just not yet well-versed in prompt engineering. So it takes a while -- even as someone

There's two layers of issues as I see it. First is that most people are just not yet well-versed in prompt engineering. So it takes a while -- even as someone that is doing this every day -- to find the best prompting approach to get the desired outcome. Sometimes if I step away from a prompt for a few days and come back, I'll have better ideas. But this is doing it every day. Most folks just don't have this patience and are now conditioned with Google Search whereas GPT requires much more intent to get better results. Most normal folks are not going to be in the right mindset to iterate and build optimal prompts for their use case because they are not really using GPT in that way; they are using it to get some task done. Second is that some use cases -- like this case of diagnosing medical cases -- will require more advanced techniques to be used in combination like RAG, web search, collaborative agents, function calling, and so on. Basically, it still needs some level of design and engineering for it to be usable. It is definitely not there yet for normal people and why I think there's still a moderately sized window where startups can close that gap by building that "structure" for specific use cases that make them viable. Essentially, vertically-oriented GPTs.