Skip the Dashboard: Why Error Analysis Is the True Foundation of AI Quality

Most AI teams rush to build metrics dashboards without understanding how their systems actually fail—a critical mistake that produces meaningless data. Error analysis—methodically reading real outputs and identifying failure patterns—is where genuine signal comes from. Without this unglamorous groundwork to bridge the gap between developers and production reality, no metric can meaningfully measure product quality.