A retail company's team is using a pretrained generative AI model to classify incoming customer emails into categories such as 'refund', 'shipping', and 'complaint'. When they give the model only a plain instruction, the results are inconsistent and often use category names the team did not define. Without retraining or fine-tuning the model, which prompt engineering technique should the team apply first to improve classification accuracy?