Gather three years of meeting minutes into text files
From: Jeff Adams <jeff.adams@usablenet.com>. Task: Jeff Adams used the Claude in Chrome extension with the Haiku model to extract exact text from W3C Maturity Model meeting minutes (2022-2024). He validated the process on a single meeting, then processed minutes in monthly increments to avoid context limits, manually copying outputs into yearly markdown files. He later noted that Claude Cowork could have automated the file writing step.; tools: Claude in Chrome, Claude Cowork. Human role: The original post does not say how a person stayed involved.; limitations: The workflow required manual intervention to copy text and manage session limits. Claude in Chrome is a beta feature with inherent risks, and the Haiku model stopped after 3-4 months of data, necessitating monthly batching. The author did not verify if the usage limit was extension-specific or account-wide..
Tools
Published on Agent Work Atlas:
Overview
From: Jeff Adams <jeff.adams@usablenet.com>
Workflow
Jeff Adams used the Claude in Chrome extension with the Haiku model to extract exact text from W3C Maturity Model meeting minutes (2022-2024). He validated the process on a single meeting, then processed minutes in monthly increments to avoid context limits, manually copying outputs into yearly markdown files. He later noted that Claude Cowork could have automated the file writing step.
Reported result
The author successfully consolidated three years of minutes into three text files for Google NotebookLM, reducing source count from ~120 to 3. He reported the extraction was flawless during spot checks, though he hit a usage limit requiring a four-hour pause. No quantitative efficiency metrics were provided.
Human role
The original post does not say how a person stayed involved.
Limitations
The workflow required manual intervention to copy text and manage session limits. Claude in Chrome is a beta feature with inherent risks, and the Haiku model stopped after 3-4 months of data, necessitating monthly batching. The author did not verify if the usage limit was extension-specific or account-wide.
Try it
Act as a data extraction agent. I need to consolidate meeting minutes from [URL of minutes archive] for the years [2022, 2023, 2024] into three separate markdown files. Use Claude in Chrome with the Haiku model. First, extract one sample meeting to verify exact text fidelity (no summarization). If successful, process the remaining minutes in monthly batches to avoid context limits. Output each batch as a markdown code block. I will manually copy these into yearly files. Do not proceed to the next month until I confirm the previous batch is saved. If you hit a usage limit, stop and notify me. Finally, suggest how Claude Cowork could automate the file-saving step for future runs.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.