AI & RAG
Scheduled Confluence migration-runbook generator from new releases
On a schedule, finds API versions released since the last run, retrieves their changelog breaking changes.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled run (e.g. nightly)
- ActionFetch recent release tags and changelog from GitHubGitHub
- LogicFilter to versions released since last runbook revision
- ActionRetrieve breaking-change passages for new versionsOpenAI
- ActionWrite per-version migration sections grounded in diffsOpenAI
- OutputCreate or update the Confluence migration runbookConfluence
What it does
This workflow runs on a schedule, detects any API versions published since its last run, retrieves the breaking changes and deprecations from each release's changelog, and writes a structured migration runbook into Confluence, keeping a living upgrade guide that always cites the exact version and diff.
When to use it
Use it when your team maintains a Confluence migration guide by hand and it constantly drifts behind actual releases. This keeps the runbook current automatically and traceable to source.
How it works
- 1A schedule triggers the workflow (for example nightly).
- 2The workflow fetches recent release tags and CHANGELOG entries from GitHub.
- 3A logic step filters to versions released after the last published runbook revision.
- 4It retrieves the breaking-change and deprecation passages for those versions.
- 5An OpenAI model writes per-version migration sections grounded in the retrieved diffs, citing each.
- 6The workflow creates or updates the Confluence runbook page with the new cited sections.
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.
- 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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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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