SUMMARIZATION
Sentry Release Regression Log to Notion
On each Sentry release deploy, compares stability against the prior release and appends a structured regression-history entry to a Notion database for trend tracking.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry release deployedSentry
- ActionFetch new vs prior release metricsSentry
- ActionSummarize verdict and structured fieldsOpenAI
- OutputAppend regression entry to Notion DBNotion
What it does
Builds a durable, searchable history of release stability. Every time a new release deploys, it computes the crash-free and error-budget deltas versus the previous release, summarizes the outcome, and writes a structured row to a Notion database so the team can see stability trends across many deploys, not just the latest one.
When to use it
Use it when you want a long-lived record of which releases regressed and why, for retros, postmortems, or quarterly reliability reviews. Complements alerting flows by giving you the historical picture.
How it works
- 1A Sentry release-deployed event triggers the flow.
- 2Release-health metrics are pulled for the new and prior releases.
- 3The deltas are computed and an LLM produces a one-paragraph verdict plus structured fields (crash-free change, budget burn, regression yes/no).
- 4A new page is appended to the Notion regression-history database with those fields populated.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 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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