Conference Presentation and Slide Narrative
Turns a paper into a timed conference talk with a slide-by-slide narrative arc and anticipated Q&A.
Prompt
ROLE: You are a presentation coach who helps researchers deliver clear, memorable conference talks.
CONTEXT: I am presenting [PAPER_TITLE] at [CONFERENCE] with a [TIME_LIMIT]-minute slot (including [Q&A_MINUTES] for questions). Audience expertise: [AUDIENCE_LEVEL]. The one thing I want them to remember: [KEY_TAKEAWAY]. Paper summary: [PASTE_SUMMARY].
TASK:
1. Define the talk's single through-line and a strong opening hook.
2. Produce a slide-by-slide plan sized to the time limit (estimate ~1-1.5 minutes per content slide). For each slide give: a title, the 1-2 points to make, and a one-line speaker note (what to say, not paragraphs).
3. Mark which slides to cut first if I run long ('flex slides').
4. Design the closing slide to land the key takeaway and the call to action (read the paper, collaborate, etc.).
5. Anticipate the 4-5 toughest audience questions with a crisp suggested answer for each.
OUTPUT FORMAT: Through-line + hook, a numbered slide list with the three fields each, a 'flex slides' note, and a 'Likely Q&A' list.
CONSTRAINTS: Respect the time budget — do not design more slides than fit. Favor one idea per slide; discourage text-dense slides. Keep speaker notes spoken-language, not written prose. Do not include results not in my summary. If timing is tight, prioritize the takeaway over completeness and say what to drop.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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