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.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub release publishedGitHubGitHub
  • ActionList PRs merged since previous tagGitHubGitHub
  • ActionSummarize and group PRs into changelog entriesOpenAI
  • LogicFilter out chore/dependency-only PRs
  • OutputCreate grouped changelog page in NotionNotionNotion

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

  1. 1A GitHub release-published event fires the workflow with the new tag.
  2. 2The flow fetches the previous tag and lists all PRs merged in that range, including titles, labels, and bodies.
  3. 3An OpenAI step rewrites each PR into a concise changelog line and sorts it into Features / Fixes / Internal by label and content.
  4. 4A logic step drops noise (dependency bumps, chore-only PRs) so stakeholders see signal.
  5. 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.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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