From Model to Product: Where AI Projects Actually Break

Most AI projects don’t fail in training. They fail when you try to turn them into products. 🚨 The Illusion: “The Model Works” You trained a model: Good accuracy Clean evaluation metrics Solid results So you think: “We’re ready to ship.” But this is where most teams hit a wall. 🧠 The Real Problem A working model ≠ a working product AI products require: Reliability Consistency Usability Trust 👉 None of which are guaranteed by a model. ❌ 1. The “Demo Trap” In demos: Controlled inputs Best-case s