GPT-6 workflows now need to be designed around explicit model choice and reasoning-effort tuning, not just prompt quality. For production teams, the main impact is operational: route tasks by required reasoning depth, tighten tool orchestration and skills, and treat prompts/workflows as deployable systems with cost-latency-quality tradeoffs.