MARKETING

Generate machine first-draft translations and queue them for human review in Coda

On approval of source copy in Coda, drafts a translation for each target locale with OpenAI, posts the drafts back into the row as Needs Review.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCoda row marked ApprovedCodaCoda
  • LogicFilter: approved and no drafts present
  • ActionDraft each locale translation with OpenAIOpenAI
  • ActionWrite drafts to row, set status Needs ReviewCodaCoda
  • OutputCreate editable per-locale Drive docs and link themGoogle DriveGoogle Drive

What it does

Gives linguists a head start instead of a blank page. When source copy is approved in Coda, it asks an LLM to draft each target-locale translation with the supplied context and tone notes, writes those drafts back into the row marked "Needs Review," and creates an editable Drive doc per locale for the human pass.

When to use it

Use it for high-volume, lower-risk marketing strings where a machine first draft plus human review is faster and cheaper than full from-scratch translation, but you still want a human in the loop before publish.

How it works

  1. 1A Coda row is marked Approved and the trigger fires.
  2. 2A filter confirms the row is approved and has no drafts yet.
  3. 3For each target locale, OpenAI drafts a translation using the source string plus tone and glossary context from the row.
  4. 4The flow writes each draft into its locale column and sets status to "Needs Review."
  5. 5It creates an editable Drive doc per locale and links them on the Coda row for the linguist.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CodaDocs, packs, automations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  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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