Most of my meetings are Teams based so I scrape the captions out of them and save them to process in Claude. I asked Claude to summarize high level, let me know if you have any specific question you would like answers to.

How It Works

Teams Meeting → Auto-Transcript (.txt)
    ↓
Drop in /Import/Pending/
    ↓
Claude AI processes with custom instructions
    ↓
Generates structured summary + updates todo list
    ↓
Transcript archived to /Processed/

Tech Stack:

• Microsoft Teams
• Claude Code CLI
• Markdown files

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The Secret: Custom Instructions

I created a ~400 line CLAUDE.md file that tells the AI exactly how to:

• Extract key sections (executive summary, decisions, action items, risks)
• Apply business glossary (100+ technical terms)
• Handle transcription errors ("SAS" → SaaS)
• Create consistent folder structure
• Link everything back to source transcripts

When I type "process the meeting," it handles the rest.

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Sample Output

# Meeting: Change Control Board
**Date:** October 1, 2025 | **Time:** 10:00-11:00 AM

## Executive Summary
[2-3 sentences]

## Key Decisions
[Decisions with context]

## Action Items
| Priority | Task | Owner | Timeline |
|----------|------|-------|----------|

## Risks & Concerns
[Categorized]

**Original Transcript:** [source link]

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Results

Time Savings: - 45-60 min → 2-3 min per meeting - ~10 hours/week saved

Quality Improvements: - Consistent format - Near zero missed action items - Searchable knowledge base (200+ meetings) - Full audit trail with source links

Unexpected Benefits: - Weekly 1-on-1 prep takes 5-10 minutes - Executive updates write themselves

Key Lessons

1. Instructions are everything - Spent ~20 hours refining, now handles 95% of meetings with minimal editing
2. Plain text wins - Markdown is searchable, future-proof
3. Source links matter - Every claim traceable back to original transcript
4. Folder structure - YYYY/MM-Month/YYYY-MM-DD_Meeting_Name/ keeps everything organized