Enterprise AI engineering outweighs model APIs

The author argues that building enterprise AI applications involves far more engineering around the model—such as business logic, permissions, state management, and rigorous testing—than calling the model API itself. Drawing on a patient-billing voice agent example, the text highlights that core system reliability relies on code-enforced rules and checks rather than prompt engineering. Open article →