We don't have
a meeting
problem.
We have a
learning-from-
meetings
problem.
WHAT WE GET INSTEAD
→ Soulless AI summaries
"The team discussed various topics"
→ Half-baked notes from colleagues
Only what they found interesting
→ Transcription theater
"John mentioned the deadline"
Nobody
learns
from this.
WHAT I CREATE INSTEAD
Three outputs. Every meeting.
1. Meeting Debrief → Team
Topics, Insights, Decisions, Actions
2. Effectiveness Review → Team
Format fit, time efficiency, patterns
3. Personal Subtext → Just me
Patterns, political awareness
The personal subtext is my
Manöverkritik
/maˈnøːvɐkʁiːtɪk/
Military term for **after-action review.**
>
What could I have done better?
Patterns I'm repeating?
Political dynamics to watch?
The AI tells me:
*"This Daily ran 45 minutes.*
*Topic X should have been a workshop."*
*"Third time this month the same*
*decision got deferred."*
When a neutral tool says your meeting drifted—
that's different than a colleague saying it.
Data,
not blame.
We have a
wrong-format-
for-content
problem.
AI can see this—because it's not
emotionally invested in the meeting.