Because it changes the prompt rather than the model's weights, prompt engineering is immediate, reversible, and preserves the model's general knowledge. Teams typically exhaust it — alongside RAG for facts — before considering fine-tuning.
Good prompts specify the task, constraints, format, and examples; for agents, they also define tools, stopping conditions, and escalation rules.