CONTENT CREATION

Route guest soundbites for approval before publishing clips

When an episode transcript is added to Airtable, an agent extracts candidate guest soundbites and posts them to Slack for the producer to approve.

CategoryContent Creation
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew transcript row added in AirtableAirtableAirtable
  • ActionAgent extracts guest soundbites with timestamps
  • ActionPost candidates to Slack for approvalSlack
  • LogicKeep only producer-approved quotes
  • ActionRender approved quotes as graphicsImage generation
  • OutputFile graphics in Google Drive episode folderGoogle DriveGoogle Drive

What it does

Finds the strongest things your guest said, surfaces them to a producer in Slack for a quick yes or no, and only then turns the approved lines into branded pull-quote graphics. It adds a human checkpoint so nothing embarrassing or off-message ships automatically.

When to use it

Use it for interview shows where guest quotes need a sign-off before promotion, especially when guests are executives or partners who care how they are represented. Best when speed matters but a human gate is non-negotiable.

How it works

  1. 1A new transcript row in Airtable triggers the run.
  2. 2An agent extracts candidate guest-only soundbites with their timestamps.
  3. 3Each candidate is posted to a Slack channel with approve and skip buttons.
  4. 4A branch waits on the producer's choice and drops anything not approved.
  5. 5Approved quotes are rendered into branded pull-quote graphics.
  6. 6The final images are filed into the episode's Google Drive folder for the social team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect Google DriveDocs, sheets, slides, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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