Lesson brief
What this module really teaches.
Storyline, slides, speaker notes, review
AI can make slides quickly, but a fast deck is not automatically a useful deck. The deck must help a specific audience understand, decide, approve, buy, learn, or act.
The strongest presentation workflow starts as a decision memo. Once the point is clear, AI can help turn it into slide titles, visuals, speaker notes, and audience variants.
AI can generate slides quickly, but speed is not the same as persuasion. A useful presentation starts with the audience, the decision, the tension, the evidence, and the next action.
The learner's job is to own the storyline. AI can help outline, rewrite slide titles, suggest visuals, create speaker notes, and adapt the deck for different audiences. The human still verifies claims, numbers, brand fit, and narrative flow.
Futurelab field note
In Futurelab work, we often begin decks as a decision memo. Once the argument is clear, the slides almost design themselves. This prevents the common AI slide problem: polished pages with no point.
Futurelab method
The way to do the work.
Use this as the operating pattern for the module. It keeps AI practical, teachable, and reviewable.
Name the decision
Before asking for slides, write what the audience should understand or decide by the end.
Write message titles
Every slide title should say the point. 'Why the onboarding flow fails after day three' is better than 'Onboarding analysis'.
Design the evidence path
Move from context to tension to evidence to recommendation to next step. AI should support the argument, not bury it.
Keep review human
Check claims, numbers, visual fit, brand, accessibility, and whether the story would make sense out loud.
Core lessons
The ideas learners must own.
These are the concepts that let non-technical learners explain what they are doing and teach it back to someone else.
One slide, one message
A slide title should say the point, not just name the topic. 'AI reduces research time in three workflows' is stronger than 'Research workflows'.
Narrative before design
Ask AI for the story arc first: context, problem, insight, recommendation, risk, next step. Then decide the visual.
Speaker notes carry nuance
Keep slides clean. Put caveats, examples, transitions, and context into speaker notes or appendix material.
Operating workflow
A repeatable sequence.
Follow this order during practice. The sequence is deliberately simple so learners can remember it under real work pressure.
- 01Define audience and decision.
- 02Write the deck thesis in one sentence.
- 03Ask AI for a slide-by-slide argument.
- 04Rewrite titles as complete messages.
- 05Choose visual type for each slide.
- 06Review sources, numbers, brand, and speaking flow.
Leadership briefing
Use AI to turn research into a 10-slide decision path with recommendation and risk slide.
Training deck
Ask for lesson objectives, examples, exercises, and facilitator notes before visual design.
Sales narrative
Convert a client pain point into a short deck with proof, use case, implementation path, and next action.
Practice lab
Build a 10-slide briefing
Convert a rough idea into a 10-slide deck plan with title, purpose, visual suggestion, speaker note, and accuracy risk for each slide.
Artifact fields
Decision deck blueprint
- Audience
- Decision
- Thesis
- Slide title
- Evidence
- Visual
- Speaker note
- Risk
Starter prompt
Turn these notes into a 10-slide briefing for [audience]. The goal is to help them decide [decision]. For each slide, give a message title, slide purpose, 3 bullets maximum, suggested visual, speaker note, and accuracy risk. Notes: [paste notes].Quality bar
What good looks like.
Before leaving the module, compare the learner artifact against these standards and common failure modes.
One message per slide
The audience can understand the point from the title and visual.
Evidence before polish
Design does not hide unsupported claims.
Speaker-ready
The deck has transitions, notes, and answers to likely questions.
Brand restraint
The deck feels credible, not AI-generated by default.
Starting with design
Pretty slides cannot fix a weak argument.
Topic titles
Labels like 'Market' or 'Roadmap' do not tell the audience what to think.
Too many bullets
AI often overfills slides unless asked for tight constraints.
No appendix thinking
Complex evidence should often move behind the main story.
Tool categories
Tools to understand, not worship.
Copilot, Gemini, Canva, Gamma, and other tools can now draft or transform slides. This module teaches the narrative judgment that those tools still need.
Completion
The work that proves the lesson landed.
Finish the artifact
FAQ
Questions learners usually ask.
Can AI make a finished deck?
It can make a strong draft. Professional decks still need narrative editing, source checks, brand cleanup, and rehearsal.
Should I start with a prompt or source file?
Use a source file when accuracy matters. Use a prompt when exploring structure.
What improves AI slides fastest?
Fix the storyline first, then titles, then visuals.