A step-by-step guide to writing prompts that unlock intelligence, not noise.
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Most people talk to AI as if it were a mind reader. It isn’t. It’s a mirror of your prompt. Speak clearly, and it gets brilliant.
Why Prompts Matter (And What “Prompt Engineering” Really Means)
A prompt is your instruction. Better input → better output. Great prompts include your goal, the audience, key context, examples, constraints, and a clear format for the reply. Major model guides all point to the same basics: be specific, add context, and show examples.
The PROMPTS Framework (Zero → Pro in Minutes)
- P — Purpose: State the exact outcome in one line.
- R — Role & Reader: Assign a role (“career coach”) and name the audience (“new grads”).
- O — Output Format: Ask for list, table, outline, JSON, or script.
- M — Materials: Provide facts, notes, links — what the model should rely on.
- P — Parameters: Set tone, length, style, and must-include rules.