CONTENT CREATION
Glossary-aware localized release notes with an org review board
An agent reads each merged changelog batch, applies your per-locale brand glossary and prior translations for consistency, drafts localized notes.
How it runs
The automated pipeline, trigger to output.
- TriggerMerged changelog batch on default branchGitHub
- ActionLoad locale glossary and recent notes for contextConfluence
- ActionDraft glossary-aware localized notesOpenAI
- LogicRoute to review board; revise on change-requests until approvedSlack
- OutputPublish approved notes to ConfluenceConfluence
What it does
An agent processes each new batch of merged changelog entries and produces customer-facing notes per locale that respect your brand glossary and the terminology used in past releases — so "workspace" or "seat" always translate the same way. Drafts enter an org review board where reviewers can request changes; the agent revises until each locale is approved, then publishes.
When to use it
Use this when translation consistency matters across releases and a flat machine translation isn't enough. Best for teams with an established glossary, regional reviewers, and a multi-pass review culture rather than a single approve/reject gate.
How it works
- 1A merged changelog batch on the default branch triggers the agent.
- 2The agent pulls your locale glossary and recent published notes from Confluence as context.
- 3It drafts each localized note, enforcing glossary terms and prior phrasing for consistency.
- 4Drafts post to a Slack review board; reviewer change-requests are fed back and the agent revises.
- 5Once every locale is approved, it publishes the final notes to Confluence and confirms in the board.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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