Jeff (Jeff For Local Marketing) argues that expecting AI to complete an entire task without human follow-up is a common cause of failure. He emphasizes prompt engineering as a repeatable process that gets AI "90% there," using a recipe/brownies analogy: consistent inputs should yield consistent outputs, but human review and tweaks are needed for the final 10%.
Review and say, boy, that's spot on, or I need to make a little tweak here and there, but you'll do the other 10%. And to me, I think this is probably the largest reason, in my opinion, of the failure rate, because we have a mindset of it's going to do the entire job. It's artificial intelligence. It's, you know, it's got 160 IQ. It's. It's got 148 IQ. Whatever it is, it should have all the answers and should get it done the first time. That's not it. That's not it. You know, we do prompt engineering. We don't. We do some conversation, but most of this prompt engineering that we test it and make sure that when we put it in, it comes out consistently. Think of it like a recipe. If I follow a recipe to make these brownies, if I do it the same way every time, the outcome should be the same every time. Unless there's some kind of freak thing, you know, that I got a bad batch of flour or whatever, something was rancid. Everything should be.
