Few-shot prompting dramatically improves output quality and consistency for specialized tasks. By showing the model what 'good' looks like — your brand voice, output structure, reasoning style — you steer it without retraining. It is the most practical technique for building reliable AI workflows with predictable output formats, especially for tasks like data extraction, classification, and structured generation.