In this video, I’m talking about why so many AI teams start with LangChain for quick prototypes but run into serious problems at production scale. What feels like a shortcut in the MVP stage often turns into a wall – causing latency, debugging nightmares, and cost blowouts. I’ll break down why this happens, what the data shows, and how smarter teams are moving toward leaner, more reliable stacks for real-world SaaS and enterprise AI products.