Enterprise AI Engineering 2.0: From Prompt Crafting to Constrained Runtime Environments
The article argues that enterprise AI engineering is moving from fragile prompt-centric specifications to robust environment-driven verification, detailing four essential capabilities—automated validation loops, tool-call fault tolerance, hard permission isolation, and asset lifecycle management—to build governable, self-correcting AI runtime environments.
