Notebook LLM for Coaching: From Firefly Transcripts to Reflective Intelligence
The Coaching Data Dilemma
Notebook LM for Coaching: From Firefly Transcripts to Reflective Intelligence
The Coaching Data Dilemma
Every coach eventually faces the same problem:
you have hours of rich conversations, dozens of emotional inflection points, and countless insights scattered across your client notes, Zoom recordings, and half-finished summaries.
You feel the gold is there — patterns, shifts, limiting beliefs revealed — but you rarely have the time to sift, categorize, and synthesize them in a meaningful way.
Enter Notebook LM.
It's Google's experimental tool that turns your documents into an interactive AI conversation partner — part memory extension, part pattern detector, part thought partner.
And if you combine that with automated transcription from tools like Firefly, you start to glimpse the next frontier of coaching intelligence.
The Firefly → Notebook LM Flow
Here's how many coaches are experimenting today:
- Record sessions (Zoom, Meet, or audio).
- Firefly transcribes automatically — accurate, timestamped, speaker-tagged.
- You manually drop the transcript into Notebook LM (uploading as a text file or Google Doc).
- Then you prompt:
- "Summarize key emotional shifts."
- "Extract commitments and follow-up actions."
- "What limiting beliefs are emerging across the last three sessions?"
This workflow works — barely.
But it's clunky, fragile, and manual.
There's too much copy-paste and not enough flow.
The Better Workflow (or, How It Could Work)
Imagine instead:
- Automatic ingestion: Firefly's transcript API drops every session directly into your Notebook LM workspace.
- Contextual tagging: Notebook LM recognizes the client, topic, and session date.
- Auto-summarization: It generates a private summary within minutes — categorized by insights, emotions, and next actions.
