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.
How it runs
The automated pipeline, trigger to output.
- TriggerScreenshot attached to launch-brief pageNotion
- ActionRead screenshot and brief text from pageNotion
- ActionDraft per-channel captions and translateOpenAI
- LogicRoute low-confidence captions to review block
- OutputWrite localized captions back to Notion pageNotion
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
- 1A new image attachment on a launch-brief page triggers the flow.
- 2The flow reads the attached screenshot plus the page's existing brief text from Notion.
- 3OpenAI generates per-channel captions grounded in the brief, then translates each into the configured locales.
- 4A logic step routes any caption flagged low-confidence to a separate review block instead of the approved block.
- 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.
- 1Connect NotionPages, databases, comments.
- 2Connect OpenAIModels, embeddings, files.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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