CONTENT CREATION
On-demand blog localization with glossary check and Slack approval gate
A webhook kicks off translation of a chosen post into requested locales, runs a glossary check.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook with post ID and target localesHTTP webhook
- ActionLoad approved glossary from CodaCoda
- ActionTranslate post per locale with glossary termsOpenAI
- LogicVerify glossary compliance, tag drafts needing notes
- ActionPost each draft to Slack with approve/rejectSlack
- OutputPublish approved drafts as Notion locale pagesNotion
What it does
Lets anyone localize a specific post on demand by firing a webhook with the post and target locales. Each draft is translated with glossary enforcement, then sent to Slack where a reviewer approves or rejects it. Only approved drafts are published as locale pages in Notion.
When to use it
Use this for ad-hoc, human-in-the-loop localization rather than bulk automation, for example a one-off campaign post that needs a fast turnaround but still requires sign-off. The Slack gate keeps a person in control of what actually goes live.
How it works
- 1An incoming webhook carries the post ID and the list of target locales.
- 2The flow loads the approved glossary from Coda.
- 3OpenAI translates the post for each requested locale, applying glossary terms as constraints.
- 4A logic step verifies each draft honors the glossary and tags any that need a flag note for the reviewer.
- 5Each draft is posted to a Slack review channel with approve and reject actions.
- 6On approval, the localized content is published as a new locale page in Notion; rejections stop there.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect CodaDocs, packs, automations.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Connect NotionPages, databases, comments.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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