Every technological leap carries a hidden toll — the labor of keeping pace with it. Google Cloud's new agent-based migration tool addresses one such toll: the months of engineering effort required each time a company upgrades its AI models. By automating the testing and refinement of prompts, the system compresses that burden from months into hours, quietly reshaping the economics of how often and how readily businesses can evolve alongside the AI models they depend on.