SOCIAL MEDIA
Schedule approved clip scripts across platforms
When a clip script is marked Approved in Notion, generates the final captions and hashtags per platform and schedules the posts across your social accounts with staggered timing.
How it runs
The automated pipeline, trigger to output.
- TriggerNotion page status set to ApprovedNotion
- LogicVerify final clip asset is attached
- ActionGenerate per-platform captions and hashtagsOpenAI
- ActionSchedule staggered posts across platformsSocial publishing
- OutputMark Notion page Scheduled with post timesNotion
What it does
Takes a clip script that a human has approved in Notion and turns it into scheduled, platform-specific posts. It writes the final caption and hashtag set for each destination, then queues the posts at staggered times so you don't dump everything at once.
When to use it
Use this as the second half of a repurposing pipeline: after an editor approves the script and uploads the cut clip, this handles caption polish and scheduling so nothing waits on a person to manually copy-paste into each platform.
How it works
- 1A Notion page whose status changes to Approved triggers the run.
- 2The approved script, clip link, and target platforms are read from the page.
- 3A status check confirms a final video asset is attached; if missing, the run stops and flags the page.
- 4OpenAI writes a caption and hashtag variant tuned to each selected platform.
- 5Posts are scheduled across platforms with staggered publish times.
- 6The Notion page is updated to Scheduled with the queued post times.
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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Run this workflow in your colony.
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