Why it matters

• There are no magic words: the idea that one secret phrase unlocks a better AI is marketing folklore, and the biggest real prompt gains come from adding context the model needs — what you have, what you want, and what good looks like.
• A reliable prompt skeleton has four parts: the role or viewpoint, the task in plain words, the context and constraints (length, audience, tone, what to avoid), and the format you want back.
• Models follow structure better than emphasis: a clear list of requirements outperforms 'please please be accurate', and one well-scoped request beats three vague ones.
• Prompts are cheap to iterate: asking the model to revise ('shorter', 'more concrete', 'less formal') usually beats restarting, and the first output is a draft, not an answer.
• The model has no memory of your intent: anything you did not say, it did not know — which is why the context section, not the wording, is where prompts are won and lost.

Your checklist

• Write the task in one plain sentence before adding anything else — what you want produced, not a wish about the model.
• Add the context the output needs: who it is for, what it must include, what it must avoid, and any facts the model could not know.
• State the format you want back — bullet list, table, three paragraphs, a draft email ready to send — so you do not have to reformat.
• Give one concrete constraint that matters (length, tone, audience level) instead of three adjectives.
• Treat the first output as a draft: ask for one specific revision at a time, and stop when it is good enough for the job.
• Keep a small file of prompts that worked for tasks you repeat — reuse beats reinventing.

❓ Prompt-Write Basics: Structure Beats Magic Words — FAQ

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