How to use these prompts
Each prompt is written to make the model draft and structure, not to invent facts. Always paste your own inputs — the actual steps, headcount, dates, and constraints — inside the brackets. The model is good at turning rough notes into a clean, consistent document; it is bad at knowing your business, so anything it asserts that you did not give it should be treated as a guess to verify.
Three habits make these reliable. First, give context once at the top (who you are, what the output is for, who reads it) and the model carries it through the task. Second, ask for a named structure — sections, a numbered list, a table — so the output is scannable and editable. Third, end with a review step: ask the model to flag anything it assumed or anything missing, so gaps surface before the document ships rather than after. For deeper technique, see the DAIR.ai Prompt Engineering Guide and our Prompt Engineering Cheat Sheet (2026).