CONTENT CREATION

Agent-driven screenshot localization with on-the-fly copy translation

On a manual run, an agent finds untranslated UI strings for a target market, drafts translations with brand-voice guidance, fills the Figma frame.

CategoryContent Creation
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts run with target locale + frame
  • LogicDiff source keys vs existing translations to find gaps
  • ActionDraft missing translations with brand voice + glossaryOpenAI
  • ActionWrite new translations to copy databaseNotionNotion
  • ActionFill Figma frame and export localized PNGFigmaFigma
  • OutputDeliver render + drafted-string list for sign-offSlack

What it does

Closes the gap when a market is missing translated copy. An agent reads the source strings, generates context-aware translations that respect product terminology and tone, applies them to the Figma frame, and produces a finished localized screenshot, recording each new translation back to the copy store.

When to use it

Use it for a new market launch where the translation table is incomplete and you need usable screenshots before professional localization is finished. The agent reasoning step handles ambiguous strings and length constraints a static map can't.

How it works

  1. 1You start a run naming the target locale and the Figma frame.
  2. 2The agent diffs source string keys against existing translations to find gaps.
  3. 3For each gap it drafts a translation using brand-voice and glossary guidance, respecting UI length limits.
  4. 4New translations are written back to the Notion copy database for human review.
  5. 5The agent sets all string values on a Figma frame copy and exports the PNG.
  6. 6The rendered screenshot plus a list of machine-drafted strings is delivered to Slack for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FigmaFiles, frames, comments, assets.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

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