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How Engineers Use AI for Lightning Talks

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Last updated: 2026/06/26
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How are engineers using AI when preparing lightning talks?

Speaker notes
This is not about letting AI create the entire talk.
The point is to understand where AI fits into the preparation process.
  • AI is useful for ideation and structuring

  • But the core story must come from the speaker

  • For lightning talks, AI works best as an editor, not an author

  • In English-speaking communities, AI is often used for efficiency

  • In Japanese communities, AI is often used to clarify and verbalize rough ideas

  • Topic brainstorming

  • Outline generation

  • Title ideas

  • Slide copy

  • Diagram ideas

  • Speaker notes

  • Rehearsal questions

  • Translation and English polishing

Speaker notes
AI is not a magic slide machine.
It is more like a small workshop tool that removes friction from each step.
  • Using ChatGPT or Claude to create outlines

  • Generating speaker notes and talk flow

  • Combining AI with Marp, Reveal.js, or Google Slides

  • Turning blog posts or README files into talks

  • Treating the result as “AI-assisted, human-edited”

  • Turning Qiita or Zenn articles into LT slides

  • Asking AI for better titles and openings

  • Reordering ideas into a more understandable flow

  • Shortening slide text

  • Creating English titles or abstracts

Paste an article or README.

Ask AI to:

  • Compress it into a 5-minute talk

  • Add missing context for the audience

  • Break it into one message per slide

Paste rough personal notes.

Ask AI to:

  • Find the core message

  • Suggest title candidates

  • Remove unnecessary details

  • Create a stronger closing line

Use AI before rehearsal.

Ask AI to:

  • Generate likely questions

  • Find points beginners may not understand

  • Detect risky or misleading wording

  • Check whether the talk fits within 5 minutes

  • Personal failure stories

  • Real engineering context

  • The messy reasons behind decisions

  • Team-specific atmosphere

  • Timing, pauses, and humor

Speaker notes
AI can produce something smooth and average.
But a good lightning talk often comes from something specific, personal, and slightly uneven.
  • The story becomes exaggerated

  • The argument becomes too safe

  • The slides feel generic

  • Personal experience disappears

  • The speaker ends up reading someone else’s words

The speaker owns:

  • Experience

  • Question

  • Failure

  • Friction

  • Conclusion

AI helps with:

  • Structure

  • Compression

  • Rewording

  • Flow

  • Rehearsal

An AI tool for lightning talks should not simply generate slides.

It should help the speaker:

  • Clarify their intent

  • Avoid over-polished AI writing

  • Create lightweight Markdown slides

  • Work locally when needed

  • Preserve the speaker’s own voice

AI-assisted lightning talks are not about letting AI do the talking.

They are about using AI to organize messy thoughts.

The main character is still the speaker’s own experience.

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