AI AGENTS

Agent-Driven Localized Ad Variant Rollout

A CEO-agent takes a master brief, generates localized creative variants per target market with Replicate, checks each against region-specific brand and legal rules.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMaster brief marked Ready-to-LocalizeAirtableAirtable
  • ActionAgent reads brief and target markets
  • ActionGenerate localized variants per market on ReplicateReplicateReplicate
  • LogicRegion-aware brand and legal safety review
  • ActionAssemble cleared variants into Notion launch pageNotionNotion
  • OutputWrite cleared-vs-held summary to the brief rowAirtableAirtable

What it does

Given a master campaign brief and a list of target markets, an agent adapts the messaging and visual prompts per region, generates each localized variant on Replicate, evaluates them against market-specific brand and regulatory constraints, and compiles the approved set into a structured Notion launch page for sign-off.

When to use it

When one campaign must ship across several regions with different languages, imagery norms, and ad regulations, and you want the per-market reasoning handled by an agent rather than hand-built branches.

How it works

  1. 1A new master brief lands in Airtable and is marked Ready-to-Localize, firing the trigger.
  2. 2The agent reads the brief and the list of target markets.
  3. 3For each market it crafts a localized prompt and generates the variant on Replicate.
  4. 4The agent runs a region-aware brand-and-legal safety review on each image and rationale.
  5. 5Cleared variants are organized by market and assembled into a Notion launch page.
  6. 6A summary of cleared versus held variants is written back to the brief row.

Set it up

What you configure once, before turning it on.

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

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