Why Latency, Memory, and Measurement Redefine AI Product Success

Shipping AI to real users reveals that success depends less on model optimization than on three overlooked fundamentals: minimizing latency, maintaining contextual memory, and conducting rigorous evaluation. As AI adoption accelerates, teams that master these principles will differentiate themselves from those chasing benchmark improvements alone.