CONTENT CREATION

Atomize a Published Blog Post into a Multi-Channel Asset Pack

When a Notion blog draft is marked Published, this breaks it into per-channel posts (LinkedIn, X, newsletter blurb, Instagram caption) with tone tuned to each channel.

CategoryContent Creation
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNotion page status set to PublishedNotionNotion
  • ActionRead full post body + metadataNotionNotion
  • ActionGenerate per-channel variants with tuned toneOpenAI
  • LogicValidate per-channel length, retry overruns
  • OutputWrite Asset Pack child page in NotionNotionNotion

What it does

Turns one long-form blog post into a ready-to-ship pack of short-form posts, each rewritten in the native voice of its destination channel, and files them back in Notion so a human can approve before anything goes live.

When to use it

You publish long-form content and want consistent same-day social and email coverage without rewriting the post four times by hand. Best when a human still signs off on copy.

How it works

  1. 1A Notion database page flips to Status = Published, firing the trigger.
  2. 2The flow reads the full page body and metadata (title, summary, tags).
  3. 3An OpenAI step generates four channel variants in one pass: LinkedIn (professional, first-person), X thread (punchy, hook-led), newsletter blurb (warm, scannable), Instagram caption (casual, emoji-light).
  4. 4A logic step checks each variant is within its channel character limit and retries any that overrun.
  5. 5The flow creates a child 'Asset Pack' page in Notion with one labeled block per channel.
  6. 6Output: a Notion link is posted so the editor can review and edit before scheduling.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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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