SOCIAL MEDIA
Repurpose queued videos into A/B hook caption variants
When a video is marked Ready in a Notion content queue, generates two competing hook variants per platform, schedules both at offset times.
How it runs
The automated pipeline, trigger to output.
- TriggerNotion row marked ReadyNotion
- ActionRead video URL and target platformsNotion
- ActionGenerate A/B hook caption variantsOpenAI
- LogicTag variants and assign offset slots
- ActionSchedule all variantsSocial publishing
- OutputWrite variant mapping back to NotionNotion
What it does
Monitors a Notion content queue for rows flipped to a Ready status. For each ready video it generates two distinct opening-hook caption variants per platform, schedules them at offset slots so they don't cannibalize each other, and writes the variant assignments back to Notion so you can compare engagement later.
When to use it
Use it when you want to test which framing of a video actually lands instead of guessing. Good for teams running an editorial calendar in Notion who treat captions as experiments rather than one-shots.
How it works
- 1A Notion trigger fires when a queue row's status changes to Ready.
- 2Read the row's video URL, target platforms, and any angle notes.
- 3An OpenAI step writes two contrasting hook variants (A and B) per platform from the supplied context.
- 4A logic step assigns each variant an offset schedule slot and tags it A or B.
- 5Post-to-Platforms schedules every variant on its destination channel.
- 6Update the Notion row with the variant-to-platform-to-time mapping for follow-up analysis.
Set it up
What you configure once, before turning it on.
- 1Connect NotionPages, databases, comments.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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