Good prompts tend to share the same three parts. This guide breaks down the anatomy of a well-structured prompt, the instruction, the context, and the format, so you can build strong requests every time instead of hoping for the best.
Presentation Outliner
Turn your topic into a clear talk or slide deck outline, with a logical flow, a suggestion for each slide, and a strong opening and close.
Make it yours
Fill in the boxes and the prompt updates as you type. Then copy it and paste it into your AI tool of choice.
The subject in a sentence or two
Who will be watching, and how much they already know
Roughly how much time you have, or how many slides
The one thing you want them to remember or do
Your prompt
I'm preparing a presentation and want help outlining it. Topic: how our team can cut wasted time in weekly meetings Audience: my manager and the wider team / a room of new customers Length: 10 minutes Here's what I want them to take away or do afterwards: agree to trial a new meeting format for a month Please build me a clear outline. Suggest a slide-by-slide structure with a strong opening and a memorable close, note the key point for each slide, and keep the flow logical so one idea leads naturally to the next. Flag any spots where a story, example, or visual would land better than text.
Tips
Tell the AI the single thing you want people to remember, because a talk built around one clear message is far more persuasive than one that tries to cover everything. Once you have the outline, ask for a few opening lines that grab attention, as the first thirty seconds decide whether the room is really listening.
What a good result looks like
A slide-by-slide outline with a strong opening and close, the key point for each slide, a logical flow, and notes on where a story or visual would work best.
Works well with
Related reading
Context is the background you hand the AI so it can answer for your situation, not a generic one. This guide explains why context matters so much, what kinds are worth giving, audience, purpose, examples, and limits, and how it helps keep the AI honest.
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