CONTENT CREATION

Generate social variants from a blog and hold them for human approval before posting

When a blog row is marked Ready in Airtable, this drafts social variants and an image, writes them back to Airtable for review.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAirtable row status set to ReadyAirtableAirtable
  • ActionDraft social variants with OpenAIOpenAI
  • ActionGenerate cover imageImage generation
  • ActionWrite drafts back to Airtable for reviewAirtableAirtable
  • LogicWait until row is flipped to Approved
  • OutputPublish approved variants across platformsSocial publishing

What it does

Adds a human checkpoint to repurposing. When a content row in Airtable is marked Ready, the flow generates social variants and a cover image and writes them back into the same row. It then waits: nothing publishes until an editor reviews the drafts and changes the row to Approved, at which point the variants cross-post automatically.

When to use it

Use it on regulated, brand-sensitive, or executive-bylined content where auto-posting is too risky. The AI does the drafting grind; a person keeps final say.

How it works

  1. 1An Airtable row's status changes to Ready, firing the trigger.
  2. 2The flow reads the article body from the row.
  3. 3OpenAI drafts LinkedIn, X, and Instagram variants.
  4. 4generate-image creates a cover image.
  5. 5Drafts and image URL are written back into the Airtable row, status set to Needs Review.
  6. 6A logic gate checks whether the row was flipped to Approved; if so, post-to-platforms publishes the variants.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  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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