Over the past year, I’ve sat through countless conversations about “Agentic AI” — and now “Multi-Agentic AI.” These terms sound powerful, even futuristic. But when you look past the jargon, what you often find are approaches that are hard to operationalize: costs are difficult to forecast, outcomes can be hard to explain, and building trust in production settings becomes a real challenge. My perspective comes not from theory, but from hands-on experience building and testing