CONTENT CREATION
Changelog Entry with Auto-Generated Feature Screenshots
On each GitHub release, this drafts the changelog and generates a hero illustration per major feature, then publishes the illustrated entry to your changelog microsite.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub release publishedGitHub
- ActionExtract headline features from releaseGitHub
- ActionWrite benefit-focused blurb per featureOpenAI
- ActionGenerate illustration per featureImage generation
- ActionAssemble and commit illustrated entryGitHub
- OutputRedeploy microsite on VercelVercel
What it does
Produces an illustrated changelog. For each GitHub release it pulls the release notes and tagged PRs, identifies the headline features, and generates a clean visual for each one so the published entry is not just a wall of bullet points. The images and copy are bundled into a single entry and deployed.
When to use it
Use it when your changelog is a marketing surface, not just an engineering log, and you want every meaningful release to ship with visuals without a designer in the loop.
How it works
- 1A published GitHub release fires the trigger.
- 2The flow extracts the headline features from the release body and linked PRs.
- 3An LLM step writes a short, benefit-focused blurb for each feature.
- 4For each headline feature it generates a matching illustration.
- 5The blurbs and images are assembled into one dated changelog entry and committed.
- 6The microsite is redeployed on Vercel with the illustrated entry live.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect VercelDeploys, runtime logs, analytics.
- 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 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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