CONTENT CREATION

Zoom interview recording to episode asset tracker

When a Zoom recording finishes, transcribes it, drafts show notes and chapter timestamps with OpenAI.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom cloud recording completedZoomZoom
  • ActionTranscribe recording with ElevenLabsElevenLabsElevenLabs
  • ActionDraft title, summary, and chapters with OpenAIOpenAI
  • ActionCreate episode row in Airtable trackerAirtableAirtable
  • OutputPing producers in Slack for reviewSlack

What it does

Closes the loop between recording an interview on Zoom and having its assets logged in your production pipeline. It transcribes the recording, drafts notes and chapters, and files everything as a row in your episode tracker with a review ping.

When to use it

Use it for interview-format shows recorded over Zoom where the editorial team tracks each episode's status in Airtable. It removes the manual download-transcribe-log handoff between recording and editing.

How it works

  1. 1Zoom's recording-completed event triggers the workflow with the cloud recording reference.
  2. 2ElevenLabs transcribes the recording audio into timestamped text.
  3. 3OpenAI produces a working title, summary, chapter timestamps, and a first-pass show-notes draft.
  4. 4A new row is created in the Airtable episode tracker with the assets attached and status set to Review.
  5. 5A Slack message notifies the producers channel that the episode is ready for editorial review, linking the Airtable row.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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