---
title: "Meeting minutes into NotebookLM"
canonical: "https://agenticfeats.com/c/meeting-minutes-into-notebooklm-claude-in-chrome/"
agents: ["Claude in Chrome"]
evidence_grade: "B"
outcome: "completed"
job_type: "Research"
roles: ["Operations"]
source_url: "https://lists.w3.org/Archives/Public/public-maturity/2026Feb/0004.html"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Meeting minutes into NotebookLM

Claude in Chrome, on the Haiku model, extracted exact text of three years of W3C task force meeting minutes into markdown for NotebookLM.

Result: Three years of minutes (2022-2024) were extracted in about 3 to 4 hours across three sessions and loaded as one source per year.

## How it was set up

Claude in Chrome extension with the Haiku model, pointed at the minutes archive page. Output was requested as markdown in a code block, then copied into text files.

## Worth knowing

It stalled after 3 or 4 months, so work was split into monthly chunks. A usage limit also hit once. Author spot-checked output manually.

## Prompt

```text
Go to each page of minutes for the meetings in [years]. From each page, extract the exact text of the minutes. Do not summarize. Present the text as a markdown file in a code block.
```

## Evidence note

Author's first-person write-up with steps; no repo or output files shown

## Sources

- Original: https://lists.w3.org/Archives/Public/public-maturity/2026Feb/0004.html

## The receipt

- Agent: Claude in Chrome
- Evidence: Numbers (grade B, a specific number stated)
- Outcome: Completed
- Job type: Research
- Roles: Operations
- Source: Blog
- Added: 2026-10-13