
I had been experimenting with AI as a tool for capturing and deepening the learning that happens in my meetings with clients.
I started by comparing AI-generated notes from one of our meetings with the notes I had taken myself.
The AI notes were good. They captured what we discussed, our decisions, and next steps.
Mine were different.
So I asked AI to compare the two sets of notes and tell us what was different.
The answer was striking:
The AI notes captured what happened. My notes captured what was learned.
That distinction matters.
What are we listening for?
When I take notes in a coaching session or Community of Practice, I’m not only listening for decisions and action items. I’m listening for changes in thinking.
- What did someone figure out?
- What new connection did we make?
- What assumption changed?
- What does someone understand now that they didn’t understand at the beginning of the conversation?
Those are often the most valuable outcomes of a learning conversation—and conventional meeting notes can miss them entirely.
So I tried a very simple experiment.
I went back to the same meeting notes. But instead of asking AI to summarize the meeting, I asked:
“What was learned during this meeting?”
The results were markedly different.
AI surfaced insights, connections, and changes in thinking—learning embedded in the conversation that would never have shown up in conventional meeting minutes.
From documentation to learning
This changed how I thought about the role AI could play in Communities of Practice and other adult-learning settings.
Most of us use AI meeting tools to help us remember:
- What happened?
- What did we decide?
- What do we need to do next?
Those are useful questions.
But if the purpose of bringing people together is learning, perhaps we should also be asking:
- What did we learn?
- What changed in our thinking?
- What knowledge emerged from the group?
- What should we carry forward into our practice?
That moves AI from being simply a documentation tool to becoming a learning and reflection tool.
For organizations investing in Communities of Practice, peer-learning networks, coaching, and other forms of adult learning, that feels like an important shift. We have a new opportunity to capture learning that previously might have disappeared when the meeting ended.
Try it yourself
The next time you process AI-generated meeting notes, don’t stop at the summary.
Ask:
“What was learned during this meeting?”
Then compare the two.
You may discover that the most valuable part of the meeting wasn’t what happened at all.
The experiment describe above grew out of coaching work Ken Goeddeke and I have been doing with our client Kathleen (Kat) Da Silva at the Georgia Partnership for Excellence in Education (GPEE), where she facilitates a Community of Practice. I’m so grateful for this fruitful collaboration.






