SUMMARIZATION
Release-tag changelog: distill merged PRs into a Notion changelog page
When you publish a GitHub release, this collects every PR merged since the previous tag, summarizes them into stakeholder-friendly notes grouped by type.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub release publishedGitHub
- ActionList PRs merged since previous tagGitHub
- ActionSummarize and group PRs into changelog entriesOpenAI
- LogicFilter out chore/dependency-only PRs
- OutputCreate grouped changelog page in NotionNotion
What it does
Turns a raw GitHub release into a polished, human-readable changelog. On publish, it diffs the new tag against the previous one, pulls in the merged PRs, and uses an LLM to write plain-English entries grouped into Features, Fixes, and Internal — then publishes a clean page in your Notion changelog database.
When to use it
For teams that cut tagged releases and want a non-engineer-friendly changelog without hand-writing it every time. Ideal when product, support, and leadership all read Notion and shouldn't have to parse commit logs.
How it works
- 1A GitHub release-published event fires the workflow with the new tag.
- 2The flow fetches the previous tag and lists all PRs merged in that range, including titles, labels, and bodies.
- 3An OpenAI step rewrites each PR into a concise changelog line and sorts it into Features / Fixes / Internal by label and content.
- 4A logic step drops noise (dependency bumps, chore-only PRs) so stakeholders see signal.
- 5A new Notion page is created in the changelog database with the version, date, and grouped sections.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 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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