CONTENT CREATION

Generate launch captions from a screenshot dropped in Notion

When a screenshot is attached to a launch-brief page in Notion, drafts platform-specific localized captions and writes them back onto the same page for review.

CategoryContent Creation
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScreenshot attached to launch-brief pageNotionNotion
  • ActionRead screenshot and brief text from pageNotionNotion
  • ActionDraft per-channel captions and translateOpenAI
  • LogicRoute low-confidence captions to review block
  • OutputWrite localized captions back to Notion pageNotionNotion

What it does

Listens for a screenshot attached to a launch-brief page in Notion, reads the image and the brief's positioning notes, and drafts captions tailored per channel (short social, app-store blurb, in-app tooltip) in each target locale. The localized captions are written back into a structured block on the same Notion page so the brief becomes self-contained.

When to use it

Use it when product-marketing runs launches out of Notion and needs ready-to-paste localized captions the moment a screenshot is added, without round-tripping to a separate copy doc. Best for teams shipping the same feature across regions and channels at once.

How it works

  1. 1A new image attachment on a launch-brief page triggers the flow.
  2. 2The flow reads the attached screenshot plus the page's existing brief text from Notion.
  3. 3OpenAI generates per-channel captions grounded in the brief, then translates each into the configured locales.
  4. 4A logic step routes any caption flagged low-confidence to a separate review block instead of the approved block.
  5. 5The localized captions are written back into the Notion page as a structured table.

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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