CONTENT CREATION
AI brand-QA gate for generated variants
Reviews each newly staged background variant against brand guidelines with an AI agent.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Pending review row in AirtableAirtable
- ActionAgent scores variant against brand rubricOpenAI
- LogicBranch on pass / fail verdict
- ActionPass: mark Ready for sign-off in AirtableAirtable
- ActionFail: re-render via Replicate with correction notesReplicate
- OutputPost QA verdict to review channelSlack
What it does
Adds an automated brand check between generation and human review. When a variant is staged, an agent inspects it against your background guidelines (lighting, color cast, prohibited props) and either marks the Airtable row ready for human sign-off or sends it back to Replicate with specific correction notes.
When to use it
When variant volume is high and you want to catch obvious brand misses before they reach a human reviewer, cutting the manual reject-and-redo cycle.
How it works
- 1A new `Pending review` row appears in Airtable, triggering the run.
- 2The agent evaluates the staged variant against the brand background rubric.
- 3A branch routes the row by verdict.
- 4Pass: the row is flagged `Ready for sign-off` for a human.
- 5Fail: Replicate re-renders with the agent's correction notes and the staged file plus Airtable row are updated.
- 6The output step posts the QA verdict and any re-render reason to the review channel.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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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