Prompt engineering

The disciplined practice of designing, structuring, and refining input prompts so that an AI model produces accurate, relevant, and reliable outputs aligned with a specific objective.

In practical terms, it involves controlling how a model reasons and responds by specifying context, constraints, format, tone, examples, and success criteria within the prompt itself.