Offensive AI is past its demo phase. Models now identify vulnerabilities, generate exploits, and conduct penetration tests. Yet as these systems mature and scale, developers confront a paradox: the scaffolding and abstractions designed to make models capable increasingly become their primary bottleneck. How should domain experts navigate this transition?