SUMMARIZATION

Daily multi-deploy release-health roundup

Every morning, gathers all the previous day's production deploys and their Sentry error groups, clusters regressions by root cause across deploys.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionList yesterday's Vercel production deploysVercelVercel
  • ActionFetch Sentry error groups per releaseSentrySentry
  • LogicCluster regressions by root cause across deploys
  • ActionWrite ranked release-health reportOpenAI
  • ActionSave full report to NotionNotionNotion
  • OutputPost headline summary to SlackSlack

What it does

Produces a single daily report covering every deploy from the last 24 hours. It pairs each Vercel release with the Sentry error groups that emerged after it, clusters regressions by root-cause signature across the whole day, and writes a consolidated brief that ranks which deploys hurt and which were clean.

When to use it

When your team wants a once-a-day readout instead of per-deploy pings, or for an async standup artifact that shows release stability trends. Good for teams shipping many small deploys where per-deploy alerts would be too noisy.

How it works

  1. 1A daily schedule triggers the roundup each morning.
  2. 2List yesterday's production deploys from Vercel.
  3. 3For each release, fetch new and spiking error groups from Sentry.
  4. 4Cluster regressions by root-cause signature across all deploys.
  5. 5An LLM writes a ranked report: cleanest to riskiest deploy, with causes.
  6. 6Save the full report to Notion.
  7. 7Post the headline summary with a Notion link to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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