MARKETING

Brand-safety pre-check before variants reach the review board

After Replicate generates variants, an AI vision pass screens each one for brand and content issues.

CategoryMarketing
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew generated variant stagedReplicateReplicate
  • ActionAI vision brand-safety checkOpenAI
  • LogicBranch on pass vs fail score
  • ActionWrite passing variants to Airtable boardAirtableAirtable
  • ActionQuarantine failing variants in AirtableAirtableAirtable
  • OutputPost quarantine digest to SlackSlack

What it does

Adds a compliance filter between generation and human review so reviewers only see creative worth their time. Each generated variant is scored by an AI vision check for off-brand colors, banned imagery, garbled product text, or unsafe content, and only passing variants reach the board.

When to use it

Use this when generative variants occasionally come back distorted or off-brand and you don't want those wasting reviewer attention or, worse, slipping through. It is the quality gate for high-volume studios.

How it works

  1. 1A new generated variant is added to the staging area, triggering the run.
  2. 2The flow sends the variant image to an OpenAI vision check against your brand-safety rubric.
  3. 3The result is branched on a pass or fail score with the model's reasoning.
  4. 4Passing variants are written to the Airtable board as Pending Review with the safety score attached.
  5. 5Failing variants are moved to a quarantine table with the specific flags recorded.
  6. 6A digest of quarantined variants and their reasons is posted to the brand-safety Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReplicateImage, video, and model inference.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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