ThinkWithPrompt by SynotticThinkWithPrompt

Write a stronger opening for my presentation

Gives you several opening options that grab attention, frame the stakes, and preview the point in the first 60 seconds.

Presentations & Public SpeakingFew-ShotStandardPresentationsWritingMeetingsWrite

The prompt

Write a stronger opening for my presentation. What the presentation is about: [TOPIC and core message] My current opening: [PASTE my first slide(s) or what I plan to say, or "none yet"] Audience: [WHO, their mood, and what they care about] Setting: [e.g. "leadership meeting, I'm third on the agenda", "client pitch", "conference talk"] Real material I can use: [a customer story, a surprising number, a recent event, a quote - only true ones] The opening must, within 60 seconds: earn attention, make the audience care (why this matters to them now), and tell them where I'm going and what I'll ask for. Return: 1. A quick diagnosis of my current opening, if I gave one: what's working and what loses the room (e.g. agenda slide first, apologizing, thanking at length, too much background). 2. Four opening options in different styles, each written out word-for-word as I'd say it (under 100 words): a striking number, a short story or scenario, a direct answer-first statement, and a question or challenge. 3. For each: the matching first slide (headline and visual) and when this style works best for my audience. 4. My recommended option and the first transition sentence into the body. Only use facts, numbers, and stories I've provided. If an option needs a number I haven't given, mark it [ADD REAL NUMBER] rather than inventing one.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • TOPIC and core message
  • PASTE my first slide(s) or what I plan to say, or "none yet"
  • WHO, their mood, and what they care about
  • ADD REAL NUMBER

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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