CONTENT CREATION

Localize a Blog Post into Regional Packs with Generated Hero Images

On a manual run against a Notion post, this produces channel-ready copy in three target locales and generates a matching hero image per locale.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator runs flow, picks post + locales
  • ActionRead source post + brand notes from NotionNotionNotion
  • ActionLocalize copy per locale (adapt, not translate)OpenAI
  • ActionGenerate per-locale hero imageImage generation
  • LogicGroup copy + image into per-locale pack
  • OutputUpload regional folders to Google DriveGoogle DriveGoogle Drive

What it does

Takes one source post and builds a localized asset pack per target market — translated and culturally adapted copy plus a generated hero image sized for social — organized into per-region Drive folders.

When to use it

You run regional social channels (e.g. US, DE, JP) and need on-brand localized creative, not raw machine translation. Good for launches where each market gets its own visual.

How it works

  1. 1An operator triggers the run and selects the Notion source post and target locales.
  2. 2The flow reads the post body and brand notes from Notion.
  3. 3For each locale, an OpenAI step localizes the copy — adapting idioms, examples, and tone rather than literal translation.
  4. 4A generate-image step produces a hero image per locale from a prompt seeded with the post theme and locale cues.
  5. 5A logic step groups the copy and image into one pack per locale.
  6. 6Output: the flow creates a regional folder in Google Drive and uploads each locale's copy doc and image.

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
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect Google DriveDocs, sheets, slides, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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