MARKETING
On-deploy localized hero render and ship
Triggered by a deploy webhook, renders a localized hero image per market with generate-image, validates aspect and safe-area, uploads passing assets to R2.
How it runs
The automated pipeline, trigger to output.
- TriggerDeploy pipeline webhook with campaign + localesHTTP webhook
- ActionRender localized hero image per localeImage generation
- LogicValidate aspect ratio and CTA safe-area
- ActionUpload passing assets to R2 by localeCloudflare R2
- OutputNotify team of shipped + failed assets in MS TeamsMicrosoft Teams
What it does
Produces the localized visual half of a landing page the moment a deploy is requested. A webhook carrying the campaign and target locales kicks off image generation for each market's hero, checks the output meets layout constraints, and ships only valid assets. The team gets a Teams ping with what shipped and what failed.
When to use it
Use it when localized hero imagery needs to be generated as part of an automated deploy rather than hand-produced ahead of time. Best for high-velocity launch pipelines wiring marketing assets into release tooling.
How it works
- 1An HTTP webhook fires from the deploy pipeline with campaign + locale payload.
- 2generate-image renders a localized hero per locale from the campaign brief.
- 3A logic step validates each image's aspect ratio and CTA safe-area.
- 4Passing assets are uploaded to R2 under the campaign's locale path.
- 5An MS Teams message reports shipped assets and any that failed validation.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect Image generationManaged Nano Banana image renders, metered per image.
- 3Connect Cloudflare R2Object storage, S3-compatible.
- 4Connect Microsoft TeamsChannels, chats, files.
- 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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