SUMMARIZATION
Weekly Zoom Topic Index Rollup to Airtable
On a weekly schedule, pulls all of the week's Zoom recordings, chapters each one, and writes a structured topic index to Airtable for cross-meeting search and reporting.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionList past week's Zoom recordingsZoom
- ActionTranscribe and segment each into chaptersHugging Face
- ActionTag and summarize each chapterOpenAI
- OutputUpsert chapter rows into Airtable indexAirtable
What it does
Builds a searchable, filterable database of every chapter from the week's meetings in Airtable, with one row per topic linking back to the exact moment it was discussed.
When to use it
When you need to answer 'which calls touched pricing this month?' across many recordings, or want a queryable record of meeting topics rather than scattered one-off summaries.
How it works
- 1A weekly schedule trigger fires the run.
- 2The flow lists all Zoom cloud recordings from the past seven days via the Zoom API.
- 3For each recording it pulls the transcript, transcribing with a Hugging Face model when none exists.
- 4A Hugging Face segmentation model splits each transcript into topic chapters with timestamps, and an OpenAI call tags each chapter with a category and summary.
- 5The flow upserts one Airtable row per chapter, capturing meeting title, date, topic, category, summary, and a timestamped recording link.
- 6The populated Airtable view is the deliverable, ready for filtering and rollup reporting.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect AirtableBases, tables, views, automations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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