One good prompt saves minutes. A workflow saves hours forever. The graduation moment is when you stop typing prompts and start reusing them: the same brief, refined over ten runs, applied to every new input of the same type.
Build the habit: when a prompt works twice, save it. When it works ten times, it's an asset — version it, note which model runs it best and why. Your prompt library plus your model notes is a real capability that compounds. And it's exactly what you've been building in this course without noticing: every Lab run you judged A/B/Tie was a data point about which model earns which job.
Final seed: a task worth templating. Run it, refine it once, and save your winning version somewhere permanent. That's the whole method — everything after this is repetition.