A financial analyst uses a gen AI model to extract key risk factors from lengthy 10-K filings. With a simple zero-shot instruction, the model produces inconsistent output — sometimes bullet lists, sometimes paragraphs, and occasionally it invents risks not present in the document. The analyst wants to improve consistency and accuracy without the cost and time of collecting a large labeled dataset or standing up new infrastructure. What is the most appropriate FIRST technique to try?