A support operations manager wants a gen AI model to categorize incoming customer tickets into one of five predefined categories using a very specific label format (e.g., 'CAT-3: Billing'). Early tests with a plain instruction produce inconsistent formatting and occasional made-up categories. The manager cannot train or tune a model and needs a quick fix within the prompt itself. Which prompt engineering technique should they apply first?