NLP tools can't pinpoint the exact emotion to target, despite what marketers think. They're built to generate responses to prompts, not extract emotional signals. Treat them as collaborators: refine prompts, verify outputs, and ask the model to critique itself.
What's the biggest misconception of NLP? The biggest misconception is that it's gonna help you find the exact emotion that you need to market to. That's not a thing. I know that everybody wants it to be a thing, that chat's just like accurate every time, but chat right now is built to give you the exact response that's gonna get you to be happy with chat, you, the prompter. So you gotta work with chat pretty heavily to make sure that if not prompting so that the marketer likes it, I constantly ask it, double-check me, rip this apart, tell me, am I doing this wrong as a marketer? All the time. Chat's not built to pull out the exact emotion. It's built to just help you get to closer to the one that's actually gonna work. Subscribe to the pod.
