CONTENT CREATION

QA localized variants against the brand glossary before staging

Validates freshly generated locale variants against an approved terminology glossary, auto-fixes minor term violations.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggermanual
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRun loads generated variants and glossary from CodaCodaCoda
  • ActionCheck variants against glossary with OpenAIOpenAI
  • LogicSplit auto-fixable from ambiguous violations
  • ActionCommit clean and auto-fixed variants to GitHubGitHubGitHub
  • OutputEscalate held items to Slack for reviewer decisionSlack

What it does

Adds a quality gate between generation and staging. It checks each localized variant against the brand's approved glossary and do-not-translate list, corrects clear violations, and escalates genuine ambiguity to a human.

When to use it

When translation drift on product names, legal terms, or trademarked phrases is a real risk and you want a consistent guardrail before any variant reaches review.

How it works

  1. 1A manual or upstream-triggered run loads the generated variants and the glossary from Coda.
  2. 2OpenAI scans each variant for glossary and do-not-translate violations and proposes corrections with confidence scores.
  3. 3A logic branch splits results: high-confidence fixes are applied automatically; low-confidence or contradictory cases are held.
  4. 4Clean and auto-fixed variants are committed to GitHub for staging.
  5. 5Held items are posted to Slack with the flagged term and suggested fix so a reviewer can decide.

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 GitHubRepos, issues, pull requests, actions.
  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.

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