SOCIAL MEDIA
Log generated quote cards into an Airtable content calendar with scheduled slots
Generates branded quote cards from each new transcript and creates one Airtable row per card with the image, source episode, suggested caption, and an open publish slot…
How it runs
The automated pipeline, trigger to output.
- TriggerNew transcript lands in source folderDropbox
- ActionSelect quotes and draft captionsOpenAI
- ActionRender branded quote card per quoteImage generation
- ActionUpload cards to storage for stable URLsAWS S3
- LogicFind next open publish slot
- OutputCreate one Airtable calendar row per cardAirtable
What it does
This workflow makes quote cards calendar-ready instead of just file-ready. Every card becomes a structured Airtable record carrying the image link, the source episode, an AI-drafted caption, and the next free posting slot — so your content calendar fills itself.
When to use it
Use it when Airtable is your single source of truth for scheduling and you want quote cards to flow into the same pipeline as the rest of your content, with no manual data entry. Best for teams running a structured weekly cadence.
How it works
- 1A new transcript landing in the source folder triggers the run.
- 2A model selects pull-quotes and drafts a platform caption for each.
- 3A branded quote card image is rendered for every selected quote.
- 4The card image is uploaded to storage to get a stable shareable URL.
- 5A logic step looks up the next open publish slot on the calendar.
- 6One Airtable row per card is created with the image URL, episode reference, caption, and assigned slot.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect AWS S3Buckets, objects, signed URLs.
- 5Connect AirtableBases, tables, views, automations.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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