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Definition:
Prompt engineering is the practice of designing and refining the inputs (prompts) you give to AI models so that you consistently get useful, accurate, and high-quality outputs.
It’s like teaching AI how to think about your request by giving the right instructions, examples, and structure.
AI is powerful but literal → Without clear instructions, it guesses and may return vague results.
Good prompts = better outputs → A small change in phrasing can dramatically improve quality.
Saves time & money → Strong prompts reduce the need for rework.
Transferable skill → Works across AI tools (ChatGPT, Claude, Gemini, Runway, MidJourney, etc.).
Naive prompting is like asking a chef: “Cook something for me.” You’ll get something, but not what you want.
Prompt engineering is like saying: “Cook a vegetarian pasta, spicy, in under 20 minutes, for two people.” → The chef (AI) now knows exactly what to deliver.
