CONTENT CREATION

Batch-render branded social cards from an Airtable headline queue

Watches an Airtable content queue for rows marked Ready, renders a branded social card image for each headline using your token palette, and writes the image URL back to the row.

CategoryContent Creation
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPoll Airtable for rows where Status = Ready and Image URL emptyAirtableAirtable
  • LogicSkip rows missing headline or palette key
  • ActionResolve palette key to hex tokens
  • ActionRender 1200x630 branded card from headline + paletteImage generation
  • OutputWrite image URL back to row and set Status = RenderedAirtableAirtable

What it does

Turns a spreadsheet of approved headlines into finished, on-brand social cards without a designer in the loop. Each Airtable row carries the headline, a campaign tag, and a palette key; the workflow renders a 1200x630 card and pastes the rendered image link back into the same row so editors see it in context.

When to use it

Use it when a content or social team drafts headlines in Airtable and needs a card for every approved post. Ideal for high-volume publishing where hand-designing each card is the bottleneck.

How it works

  1. 1A scheduled poll reads all Airtable rows where Status is "Ready" and Image URL is empty.
  2. 2A logic step skips rows missing a headline or palette key so they never reach the renderer.
  3. 3For each remaining row, an action resolves the palette key to concrete hex tokens (background, accent, text).
  4. 4The generate-image step composes the card from the headline text and the resolved palette.
  5. 5A final action updates the Airtable row with the image URL and sets Status to "Rendered".

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Image generationManaged Nano Banana image renders, metered per image.
  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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