The Unexpected Possibilities of Text-to-Text
When to Use This Activity
Perfect for teams who are just getting started with AI and only have access to text-based AI tools. This activity helps people discover that even with just text capabilities, there's so much more they can do than they might think.
Especially useful when:
- Teams feel limited by "just having text"
- People aren't sure how to use AI beyond chat
- You want to show the versatility of text-based AI
- Teams need practical ways to work with data and automation
Key Learning Outcomes
- Transform everyday text into powerful formats (CSV, JSON, code)
- Use AI to work with data in ways you hadn't considered
- Create simple automation using AI-generated code
- Build confidence in exploring AI capabilities
Methodology Overview
Step | Title | Description | Cards Used |
---|---|---|---|
1 | Opening Hook | Get participants to recognize their daily copy-paste tasks and show how AI can help | Text Input, Text Output |
2 | Plain Text Transformation | Demonstrate basic text reformatting using meeting notes example | Text Input, Text Output |
3 | Text to Structure | Show how to convert unstructured text (emails, notes) into organized data (CSV, tables) | Text Input, Structured Text Output |
4 | Structure to Text | Reveal how to turn dry data into engaging content | Structured Text Input, Text Output |
5 | Code Generation | Surprise participants by turning text descriptions into working automation | Text Input, Code Output |
6 | Hands-On Practice | Let participants experiment with their own real-world examples | All Previous Cards |
Cards
These cards will help demonstrate the versatility of text:
Materials Needed
- The mat
- Access to an AI assistant for live demos
- Optional: Excel for showing structured data examples
- Optional: Pre-recorded demos as backup
Step-by-Step Guide
Step 1: Opening Hook (5 minutes)
Start with a simple question:
Who here spends time copying and pasting stuff between documents?
After hands go up (they always do), follow with:
Let's see how AI can help with that - and do a lot more than just copying and pasting.
Step 2: Plain Text Transformation (15 minutes)
Set up the first card combination:
Set up the mat with Text Input and Text Output cards.
Begin with a common workplace scenario:
Let's start with something you might do every day - turning rough notes into different formats for different audiences.
"talked about q4 goals. mary will handle client outreach. tom needs to update sales figures by friday. need to schedule follow-up next week" Ask AI to transform it into:
- A professional summary for your boss
- A bullet-point action list for the team This shows how the same text can become two different useful formats - and it's just the beginning of what we can do with transformations.
- Everyone takes quick notes
- Everyone needs to "clean them up" later
- Everyone needs different versions for different audiences
Step 3: The Structured Data Revelation (20 minutes)
Text to Structure (10 minutes)
Replace the Text Output card with Structured Text Output.
Ever spend time manually creating spreadsheets from emails or documents? Let's fix that.
"Hi team, here are the Q1 results: Marketing spent 45K, Sales 62K, and IT 38K. All departments were under budget except Sales who went over by 2K." Ask AI to create a budget CSV:
Department,Spent,Status
Marketing,45000,Under budget
Sales,62000,Over budget
IT,38000,Under budget
Try these transformations:
- Meeting notes → Action items table
- Product descriptions → Feature comparison matrix
- Email thread → Status report spreadsheet
Structure to Text (10 minutes)
Now flip it - put Structured Text Input and Text Output cards on the mat.
Got spreadsheets full of data? Let's turn them into something people actually want to read.
Product,Units,Revenue,YoY_Growth
Laptops,1200,960000,15
Monitors,800,240000,-5
Keyboards,2000,100000,25
- A quick summary for the team
- A detailed report for stakeholders
- Bullet points for your next presentation
Step 4: The Code Surprise (20 minutes)
Switch to the Code Output card for the final revelation.
Think about those repetitive tasks you do. Now watch how we can turn text into actual automation...
Start simple:
- First, write out what you want to automate in plain language
- Then, ask AI to turn it into code
- Finally, have AI explain the code so you understand it
Step 5: Hands-On Exploration (15 minutes)
Let participants experiment with their own examples. Some proven starting points:
Pick something you do repeatedly and let's turn it into:
- A structured format you can import
- A simple script to automate it
- Or both!
Step 6: Wrap-up (5 minutes)
End with this reflection:
Look at what we did - we turned plain text into structured data and working code. Tomorrow, when you catch yourself doing something repetitive, remember: you might be just one conversation with AI away from automating it.
Facilitation Tips
- Keep it Practical: Focus on tasks people actually do
- Handle Complexity: If someone suggests something too complex, help break it down
- Build Confidence: Emphasize that they don't need to understand code to use it
- Stay on Track: It's easy to get lost in possibilities - keep coming back to practical uses
What's Next
Close with this action-oriented message:
Tomorrow, catch yourself doing something repetitive. Stop and ask: "Could I ask AI to help automate this?" Start small - even saving a few minutes feels like magic.
Suggest these immediate applications:
- Converting their next meeting notes into action items
- Turning their task list into a structured format
- Creating a simple script for a repetitive task
The goal is to have them try at least one text transformation within 24 hours.
Variations
Quick Demo Version (20 minutes)
- Skip the hands-on parts
- Focus on 2-3 impressive demonstrations
- End with specific examples they can try later
Advanced Version
- Use an Agentic Code Editor to build a simple app.
Resources
For trainers who want to learn more:
Blog Posts
- Can AI Build Your Next App? - Deeper dive into AI's code generation capabilities
Trainer Guides
- What is an LLM? - Foundational concepts to help answer participant questions
Example Library
- Text to Structured Text Examples - Additional transformation examples to use in demos
- AI Code Capabilities - More code automation examples for advanced participants