What is prompt engineering and how can it improve AI outputs?

Prompt engineering is the practice of designing effective inputs to guide AI models toward desired outputs. Since LLMs are sensitive to phrasing, the way you ask a question can dramatically affect the answer. For example, asking “Summarize this article” may produce a generic summary, but asking “Summarize this article in three bullet points highlighting key risks” yields a more structured, useful response. Techniques include:

• Role assignment: “Act as a teacher explaining quantum physics.”
• Constraints: “Write in under 200 words.”
• Step‑by‑step reasoning: “Explain your thought process before giving the final answer.” Prompt engineering is crucial because it helps users harness the full potential of AI, making outputs more accurate, relevant, and actionable.