CONTENT CREATION
Nightly audit of localized blog variants for glossary drift, logged back to Coda
On a nightly schedule, it re-checks every published locale variant against the current Coda glossary and writes a drift report row per violation so editors can fix stale…
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule fires
- ActionRead current approved glossary from CodaCoda
- ActionFetch published locale variants from GitHubGitHub
- ActionCheck each variant against glossary termsOpenAI
- LogicKeep only genuine drift, dedupe per post
- OutputWrite each violation as a Coda drift-tracker rowCoda
What it does
Glossaries change, but already-published translations don't. This workflow runs nightly, fetches the current approved term list, and re-scans every live locale variant of your blog content for terms that no longer match the glossary, then records each violation as a row in a Coda tracking table.
When to use it
Use this when product or brand naming evolves and you need to know which already-shipped translations have gone out of date. It is an audit, not an editor: it surfaces drift and assigns it for human follow-up rather than silently rewriting live content.
How it works
- 1A nightly schedule starts the run.
- 2The flow reads the current approved glossary (source term plus required per-locale translation) from Coda.
- 3It fetches the published Markdown for every locale variant from the GitHub repo.
- 4OpenAI checks each variant against the glossary and returns any term whose live wording differs from the required wording.
- 5A logic step filters out matches and keeps only genuine drift, deduping repeats within a post.
- 6Each remaining violation is written as a row to a Coda drift-tracker table with the post, locale, expected term, and found term.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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