Hot take: most "AI-powered" products are just regular products with an API call in the middle

That's not a diss. It's where most teams start. But there's a real gap between wiring up an LLM and actually building a system that learns from its environment, adapts to changing conditions, and doesn't quietly rot the moment your data drifts. This is where product engineering starts to matter, especially when AI systems move from experimentation to production. AI-driven product engineering is a different discipline. It's not about the model you pick. It's about how you design the feedback lo...