CONTENT CREATION
On-demand release hero art audited against live Figma brand tokens
A webhook kicks off an agent that generates release hero art, pulls your current brand tokens from Figma, audits the art against them, and revises until it passes.
How it runs
The automated pipeline, trigger to output.
- TriggerHTTP webhook with release payloadHTTP webhook
- ActionAgent drafts concept and generates hero artImage generation
- ActionFetch current brand tokens from FigmaFigma
- LogicAudit art vs tokens; revise and regenerate until compliant
- ActionStore approved asset in Google Drive release folderGoogle Drive
- OutputReturn asset link + brand-audit report to caller
What it does
Accepts a release-note payload via webhook and hands it to an agent that generates hero art, reads the live brand tokens from your Figma design system, and audits the generated image against those exact tokens. It iterates until the art conforms, then returns the asset and a written compliance report.
When to use it
Use it when brand standards live in Figma and change over time, so a static rule list would drift. The agent always checks against the current source of truth before approving any release graphic.
How it works
- 1An HTTP webhook receives the release title, notes, and target version.
- 2The agent drafts a hero-art concept and calls generate-image to render it.
- 3The agent fetches current color, spacing, and type tokens from the Figma brand file.
- 4It audits the rendered image against those tokens and, if it deviates, revises the prompt and regenerates (looping until compliant or a retry cap).
- 5The approved asset is stored in Google Drive in the release folder.
- 6The agent returns the asset link plus a structured brand-audit report to the caller.
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 FigmaFiles, frames, comments, assets.
- 4Connect Google DriveDocs, sheets, slides, 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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