CONTENT CREATION

Agent-localized screenshots with market-researched copy

An agent researches the messaging that resonates in each target market, drafts localized headlines, and renders matching marketing screenshots from a Figma source.

CategoryContent Creation
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator submits source frame + base message + markets
  • ActionAgent researches messaging per marketPerplexityPerplexity
  • LogicHold low-confidence markets for human input
  • ActionExport Figma frame and render localized screenshotFigmaFigma
  • ActionGenerate final marketing screenshot per marketImage generation
  • OutputDeliver assets to R2 with copy rationaleCloudflareCloudflare R2

What it does

Goes beyond literal translation. An agent researches what messaging actually lands in each target market, drafts culturally-tuned localized headlines instead of word-for-word strings, and renders marketing screenshots from a Figma source using that copy — recording why each headline was chosen.

When to use it

When direct translation falls flat and you need market-appropriate positioning per region, but still want the speed of automated asset generation rather than full agency localization.

How it works

  1. 1A manual trigger provides the Figma source frame, the base product message, and the target markets.
  2. 2The agent runs web research per market to learn local terminology, tone, and competing claims.
  3. 3It drafts a localized headline and CTA for each market and writes its reasoning to a decision log.
  4. 4A logic gate holds any market where research confidence is low for human input.
  5. 5The flow exports the Figma frame and renders a screenshot per approved market using the drafted copy.
  6. 6Finished assets land in R2 and the per-market copy rationale is delivered for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect Image generationManaged Nano Banana image renders, metered per image.
  3. 3
    Connect PerplexitySearch-grounded answers with citations.
  4. 4
    Connect Cloudflare R2Object storage, S3-compatible.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.