SUMMARIZATION
Weekly Crash-Free Trend Report to Confluence
Each week, gathers crash-free rates from the three most recent Sentry releases and publishes a narrative trend report — with the regression analysis written in prose.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionQuery crash-free rates for three most recent releasesSentry
- ActionWrite the deploy-over-deploy trend narrativeOpenAI
- LogicTag weekly status: improving, flat, or regressed
- OutputPublish dated section to Confluence release-health pageConfluence
What it does
Once a week this workflow assembles crash-free session and user rates from your three latest Sentry releases and publishes a written trend report to Confluence. The report reads as a short stability narrative comparing the deploys, suitable for engineering managers and stakeholders who do not live in Sentry.
When to use it
Use it for a regular release-health cadence that feeds into ops reviews or QBRs. It is the right fit when leadership wants a readable weekly summary rather than ad-hoc alerts, and when you keep engineering documentation in Confluence.
How it works
- 1A weekly schedule triggers the run.
- 2The flow queries Sentry for crash-free metrics across the three most recent releases.
- 3An LLM step writes a trend narrative describing how stability moved deploy over deploy, calling out any regression and its magnitude.
- 4A logic step tags the week's overall status as improving, flat, or regressed for the page heading.
- 5The report is published as a new dated section on the rolling Confluence release-health page.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 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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