Killer Presentations with AI.
From slide design to delivery practice — build presentations that actually land.
After this lesson you'll know
- How to structure a presentation using the narrative arc technique
- AI tools for slide design, visuals, and data presentation
- How to practice your delivery with AI as your audience
- The 10-20-30 rule and why most student presentations fail
Your slides aren't the problem. Your structure is.
The number one reason student presentations bomb: information dump. You cram everything you know onto slides, read them aloud, and wonder why the class is on their phones. Guy Kawasaki's 10-20-30 rule fixes this: 10 slides maximum, 20 minutes maximum, 30-point minimum font size. These constraints force you to prioritize what actually matters.
Great presentations follow a narrative arc, not a bullet-point list. Start with a hook (a surprising stat, a question, a bold claim). Build tension (the problem, the complexity, why it matters). Deliver the insight (your argument, finding, or solution). End with a call to action (what your audience should think, do, or question differently).
AI prompt to nail this: "I'm presenting on [topic] for [length] minutes. Help me structure this as a narrative arc with a hook, tension, insight, and call to action. The audience is [describe]. What do they already know, and what will surprise them?"
One idea per slide. Everything else is noise.
The best slides have one visual, one idea, and minimal text. Your slides are a backdrop — you are the presentation. AI tools like Gamma, Beautiful.ai, and Canva's Magic Design can generate professional slide layouts from your outline in minutes. But even without these tools, AI can transform your content into slide-ready format.
Try this prompt: "Here's my presentation outline with 5 sections. For each section, suggest: the key visual (chart, image, diagram, or icon), the one sentence that should appear on the slide, and what I should SAY while the slide is up (speaker notes). Remember: the slide supports the speaker, not the other way around."
For data visualization: instead of pasting raw tables into slides, describe your data to AI and ask "What's the best chart type to show this relationship? How should I label the axes to make the takeaway obvious in 3 seconds?" A well-chosen chart communicates more than 10 bullet points.
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