The Real Value of AI Is in Reflection
Most people think AI is useful for writing.
But it might be just as powerful for listening.
Right now, many people are using AI meeting note-takers like Fireflies.ai, Otter.ai, Granola, and Phantom to capture conversations. That's the baseline.
The real value starts when you stop treating them like note-takers or stand-ins for missed meetings and start using them as observers.
Because one of the biggest gaps in communication is interpretation, we hear things, but filter them through our own assumptions, priorities, and internal narratives.
I recently came across someone using these tools differently after important conversations to interrogate how they showed up.
They'd ask:
– What might I have missed that could be relevant?
– Where did I project my own assumptions?
– What signals did the other person give that I didn't follow?
– How did this person approach the conversation?
And even more interesting:
– Where was I not my usual self?
– Did anyone overstep or hesitate at key moments?
Over time, this goes beyond a single meeting, and you start looking at the bigger picture and start asking:
– What are the priority action items across this week's meetings?
– What themes keep coming up?
– Where am I consistently misreading situations?
Even tools like Zoom are starting to build this in natively, which shows where this is heading. AI is evolving from a mere productivity tool into a feedback loop.
Documenting conversations isn't helpful unless you use the tools to read them better.
Curious if anyone is using AI this way?
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