CONTENT CREATION
Generate localized hero images for each product-page variant
For every locale defined in the Coda spec, generates a market-appropriate hero image, uploads it to object storage.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run reads visual brief and locales from CodaCoda
- ActionAdapt brief into per-locale image prompt with OpenAIOpenAI
- ActionRender localized hero imageImage generation
- ActionUpload each image to S3 by locale keyAWS S3
- OutputWrite asset URLs back onto the Coda locale rowsCoda
What it does
Produces a distinct hero image per locale from the visual brief in the master Coda spec, then stores each rendered image and writes its public URL back to the matching locale row.
When to use it
When localized pages need more than translated text — different markets want different imagery, seasonal framing, or on-image text in-language. Run it after the copy spec is finalized but before staging the page variants.
How it works
- 1A manual run reads the visual brief and the locale list from the Coda spec.
- 2For each locale, OpenAI adapts the brief into a precise image prompt that reflects local context and any in-image wording.
- 3The image generator renders the hero for that locale.
- 4Each rendered image is uploaded to S3 under a per-locale key.
- 5The flow writes the resulting asset URL onto the locale's row in Coda so the downstream page build picks up the correct image.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect AWS S3Buckets, objects, signed URLs.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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