SOCIAL MEDIA

Log guest clip approvals from an intake webhook into Airtable

Captures a guest's clip-approval submission via webhook, validates which episode and timestamps they signed off.

CategorySocial Media
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGuest submits clip-approval form (webhook)HTTP webhook
  • LogicValidate required fields and episode ID
  • LogicBranch each clip: approved vs declined
  • ActionUpsert one rights row per clip in AirtableAirtableAirtable
  • OutputWrite episode rollup row marking rights loggedAirtableAirtable

What it does

Turns a guest's clip-approval reply into a clean, queryable rights ledger. When a guest submits the approval form (which clips they're okay sharing, plus any edits), the workflow normalizes the data and creates one Airtable row per approved clip, tagged with episode, timestamp range, platforms allowed, and an expiry date if they set one.

When to use it

Use it when your show sends guests a clip-approval form after recording and you want every yes/no captured in one place before the social team schedules anything. It removes the "did they actually approve this one?" guesswork.

How it works

  1. 1A webhook fires when the guest submits the approval form.
  2. 2A logic step checks required fields are present (episode ID, at least one clip decision) and rejects malformed payloads.
  3. 3For each clip, a logic branch routes approved vs. declined.
  4. 4An Airtable action upserts a row per clip with status, allowed platforms, and approval date keyed on clip ID so re-submissions update in place.
  5. 5The final output writes a rollup row marking the episode "rights logged" once all clips are recorded.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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