Yeah, this is a sharp take — the SQL analogy nails how over-specifying prompts kills creativity and pushes outputs toward the median. What’s missing, though, is the emotional side of prompting. It’s not just about keeping things ambiguous, it’s about feeding the model something alive enough that it can reflect something real back. Mix that technical precision with human messiness and you start getting insight, not just casting a wider net.