MARKETING

Generate A/B Ad Creative Variants from an Airtable Queue

Watches an Airtable 'Creative Brief' table for new rows, generates four image variants per brief with Replicate, writes the rendered URLs back to Airtable.

CategoryMarketing
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew 'Ready' brief row in AirtableAirtableAirtable
  • LogicFilter: status is Ready and prompt present
  • ActionGenerate 4 seeded image variants on ReplicateReplicateReplicate
  • ActionWrite variant image URLs back to the brief rowAirtableAirtable
  • OutputSet row status to 'Needs Review'AirtableAirtable

What it does

Turns a single creative brief into a set of ready-to-test ad images. When a marketer adds a row to your Airtable creative queue, this workflow reads the prompt and brand parameters, generates four distinct visual variants, and attaches the results back to the same row so your team can pick winners in one place.

When to use it

Use it when you run paid social at volume and need a steady supply of fresh creative without a designer in the loop for every test. Ideal for performance teams that already manage briefs and results in Airtable and want variant generation to happen the moment a brief lands.

How it works

  1. 1A new or updated row in the Airtable 'Creative Brief' table fires the trigger.
  2. 2A filter checks that the row's status is 'Ready' and a base prompt is present, skipping incomplete briefs.
  3. 3Replicate runs the brief prompt four times with varied seeds and style modifiers to produce four distinct variants.
  4. 4Each generated image URL is written back into the brief row's attachment fields.
  5. 5The row status is set to 'Needs Review' so a human approves variants before they ship to ad platforms.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect ReplicateImage, video, and model inference.
  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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