AI Isn't Magic. It's a Normalization Layer. As a technical architect for the last 22 years, I’ve seen technologies come and go, but one thing remains constant: the tech industry loves hype and jargon. My guiding principle has always been simple: ignore the buzzwords and understand the fundamentals. When you strip away the marketing around Artificial Intelligence, enterprise architecture reveals what AI truly is: a normalization layer. The Predictable Bucket Theory At its core, AI solves an architectural interface problem. Users provide messy, erratic, unpredictable input. AI’s true utility is taking that unpredictable input and categorizing it into a set of predictable buckets that your deterministic, reliable core code can execute. Voice development taught me this years ago. When handling spoken human language, you don’t let the raw voice command run your database. You extract intent and slots, validate them, and feed clean parameters to your backend. AI does this at scale....