CONTENT CREATION
Expand one creative brief into a full ad-size set across every placement
When a brief is submitted via webhook, generates the hero image then renders it into every required ad aspect ratio, stores each size in R2.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives creative brief payloadHTTP webhook
- ActionRender base hero concept with generate-imageImage generation
- LogicLoop over each required placement aspect ratio
- ActionRender each placement-sized variantImage generation
- ActionUpload every sized file to R2Cloudflare R2
- OutputReturn placement-to-URL map to webhook callerHTTP webhook
What it does
Takes a single inbound creative brief and produces a complete, placement-ready image set: one base concept rendered into every aspect ratio your ad channels require (square, story, landscape, banner). Each size lands in object storage and the workflow returns the full URL map so a downstream ad-ops system can ingest it immediately.
When to use it
Use it when a creative or campaign tool needs to call out and get back every ad size for a concept in one shot. It removes the manual resize-and-crop chore and guarantees no placement ships missing its asset, which is the usual cause of paused ad sets.
How it works
- 1An HTTP webhook receives a brief payload (concept, copy, channel list).
- 2generate-image renders the base hero concept at full resolution.
- 3The workflow loops over each required placement size.
- 4For each size it produces a correctly framed render via generate-image.
- 5Every sized file is uploaded to R2 under a brief/placement key.
- 6The workflow responds to the webhook with a JSON map of placement to R2 URL for ad-ops ingestion.
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.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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