agent hive

CONTENT CREATION

Re-localize affected variants when the master Coda spec changes

Listens for a webhook fired when the master product-page spec is edited, regenerates only the sections that changed across all locales.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on master spec editHTTP webhook
  • LogicDiff new spec vs last snapshot to find changed sectionsCodaCoda
  • ActionRe-translate only changed sections per locale with OpenAIOpenAI
  • ActionCommit targeted edits to a refresh branchGitHubGitHub
  • OutputPost branch and change summary to SlackSlack

What it does

Keeps localized variants in sync with the source. When the master spec changes, it figures out which sections moved, regenerates just those sections in every locale, and stages the diffs on a dedicated branch.

When to use it

When the master page changes often and full regeneration is wasteful or noisy. This keeps PR diffs small and reviewable by touching only what actually changed.

How it works

  1. 1A webhook fires when the Coda spec row is edited and sends the changed field set.
  2. 2A logic step compares the new spec against the last-synced snapshot to identify changed sections; if nothing material changed, the run exits.
  3. 3For each locale, OpenAI re-translates only the changed sections, leaving stable copy untouched.
  4. 4The flow commits the targeted edits to a `localize/refresh` branch in GitHub.
  5. 5It posts the branch and a per-locale change summary to the localization Slack channel for sign-off.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect CodaDocs, packs, automations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GitHubRepos, issues, pull requests, actions.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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