Unexpected Possibilities with AI & Images
When to Use This Activity
This activity serves as an eye-opening introduction to multimodal AI capabilities. It's particularly effective early in a workshop when you want to:
- Show that modern AI goes far beyond just text
- Create "wow moments" that spark imagination
- Demonstrate immediate practical applications
The power of this activity lies in its surprise factor - most employees don't realize they can use AI to both generate and analyze images in their daily work.
Key Learning Outcomes
- Discover the dual nature of AI image capabilities: generation and vision
- Identify practical applications for image-based AI in daily work
- Understand when to use image generation vs. vision capabilities
Activity Overview
Step | Title | Description | Cards Used |
---|---|---|---|
1 | Opening Hook | Build anticipation by contrasting familiar image generation with surprising vision capabilities | Text Input, Image Output |
2 | Explore Image Generation | Show practical business applications of AI image generation | Text Input, Image Output |
3 | Reveal Vision Power | Demonstrate AI's ability to understand and analyze images | Image Input, Text Output |
4 | Practical Application | Have participants apply vision capabilities to their actual work | Image Input, Text Output |
* | Image Transformation | Optional: Show how AI can modify and transform existing images | Image Input, Image Output |
5 | Wrap-up Discussion | Reflect on practical applications and next steps | All Previous Cards |
Cards
You'll need these cards to explore the key image-based workflows:
Materials Needed
- The mat
- Access to an AI assistant for live demos (or pre-recorded demos as backup)
- Optional: Screenshots of common workplace materials (slides, documents, charts)
Step-by-Step Guide
Step 1: Opening Hook
Start with these two questions:
How many of you have tried generating images with AI?
Wait for hands to go up, then follow with:
And how many have tried showing an image to AI and asking it questions about it?
Usually very few hands - this sets up the revelation to come.
Step 2: Explore Image Generation
Setup the Text-to-Image Flow
Place the Text Input card on the left and the Image Output card on the right. Then say:
This combination represents one of the most popular AI capabilities - turning our words into images. But beyond the fun of creating art, let's discover how this helps in our daily work.
Collaborative Use Case Discovery
Instead of a traditional brainstorm, guide participants through this sequence:
Think about the last presentation or document you worked on. What visual did you need - maybe a chart, a diagram, or an icon? Turn to your neighbor and share how you actually got that visual - did you make it yourself? Find it online? Ask someone else?
After pairs discuss, bring it back to AI:
Now, let's explore how AI could have helped in each of these situations.
Strategic Demo Selection
Choose one of these proven demos based on your audience:
- For presentations: Generate engaging background images or abstract visuals
- For marketing: Create social media visuals, product lifestyle photos, or mood boards
- For communications: Generate scene illustrations or concept visualizations
Let's say you're working on a presentation about innovation. Instead of using a generic stock photo of a lightbulb, we can generate a unique, abstract background that represents innovation in your company's brand colors.
Optional: Understanding Limitations
Some types of images work better than others:
- Works Well:
- Background images and abstract visuals
- Scene illustrations (like "office meeting", "factory floor")
- Lifestyle photos for marketing
- Mood boards and concept visualization
- Social media visuals without text
- Avoid Using For:
- Icons and logos (lack consistency and precision)
- Charts and diagrams (use code/visualization tools instead)
- Images with specific text (text often comes out distorted)
- Technical illustrations (lack accuracy)
- Brand-specific elements (hard to match exactly)
- Use code sandbox with Python libraries for charts
- Use code sandbox with Mermaid for diagrams
- Use specialized visualization tools for complex graphics
- Starting with image generation limitations
- Using that as a springboard to explore how tools solve these limitations
- Showing how different AI capabilities work together (vision to analyze, code to generate, etc.)
Step 3: Reveal the Power of Vision
The Big Reveal
Flip the cards to show Image Input → Text Output, then build anticipation:
Now, what if I told you that AI can not only create images, but also understand them? Let's see what this means for our work.
Interactive Discovery
For the "AI Vision Challenge", show various types of business visuals (slides, charts, mockups) and ask:
What would you normally ask a colleague about these visuals? Let's see if AI can answer these same questions.
- What's the trend shown in this sales chart?
- Can you summarize the key points from this slide?
- What are the main usability issues in this website mockup?
- What's the information hierarchy in this infographic?
- Can you extract the data from this graph for further analysis?
- Is this presentation accessible for all audiences?
- What improvements would you suggest for this layout?
- Read and analyze text in images
- Understand charts and extract data
- Analyze layouts and design elements
- Review website mockups and suggest improvements
- Assess information hierarchy
- Check accessibility
- Compare visual styles
- Identify design patterns
- Extract structured information from documents
Step 4: Practical Application
For the "Real Work Gallery", give these instructions:
Pull up something you're working on right now - a presentation, report, or document with visuals. In pairs, you'll take turns being AI consultants for each other. Look at your partner's work and suggest one way AI vision could help them improve or analyze it.
After pairs discuss, select 2-3 compelling examples to demo with AI.
Optional: Image-to-Image Challenge
If your group is engaged and you have time, introduce one final combination:
What if we could not just understand images or generate them, but transform them? Let's explore what happens when we use an image as input to generate a new image.
Some engaging examples to try:
- Transform a basic sketch into a polished design
- Change the style of a photo (e.g., make it look like a painting)
- Modify the season or time of day in a scene
- Extend an image beyond its borders
- Remove or replace elements in a photo
- Style transfers
- Simple transformations
- Basic element removal
- Scene modifications
- Precise edits
- Complex manipulations
- Brand-specific changes
Step 5: Wrap-up Discussion
Guide the reflection with these questions:
- Which of these capabilities could save you the most time?
- What surprised you most about what AI can see and understand?
- What's one thing you'll try tomorrow with these tools?
Keep the focus on practical applications rather than technical details.
Facilitation Tips
- Handle the Wow Factor: When participants get excited about vision capabilities, redirect with:
That is amazing, isn't it? Now let's see how we can put this to work for you.
- Manage Time: For demos, set expectations:
I'll show one clear example, then you'll have a chance to try it yourself.
- Stay Practical: If discussions drift to technical details, redirect with:
Let's focus on how we can use this in our daily work. What's a concrete example from your role?
What's Next
Close with this action-oriented message:
Tomorrow, when you're reviewing a presentation or analyzing a report, try showing it to AI. The best way to learn is to use these tools on your actual work - start with something small but real.
Suggest these immediate applications:
- Reviewing their next presentation with AI
- Analyzing charts or reports they're working on
- Improving their document layouts
The goal is to have them use these tools within 24 hours while the learning is fresh.