SUMMARIZATION

Agent-Written On-Call Handoff Narrative

On a schedule, an agent reads open incidents, alert history, and watch-items across PagerDuty, Datadog, and Sentry.

CategorySummarization
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires before rotation change
  • ActionPull PagerDuty incidents + notesPagerDutyPagerDuty
  • ActionPull Datadog alert activity + monitor statesDatadogDatadog
  • ActionPull unresolved Sentry issues + trendsSentrySentry
  • LogicAgent reasons and writes prioritized narrativeOpenAI
  • OutputDeliver narrative brief to Microsoft TeamsMicrosoft Teams

What it does

Instead of a raw dump of tickets, this uses an agent to read the full operational state and write the handoff the way a thoughtful engineer would: what's actually on fire, what's noisy-but-fine, what to keep an eye on overnight, and what the last shift was midway through. The output is a readable narrative, not a table.

When to use it

Use it when junior or rotating on-call staff struggle to interpret a list of incidents and you want context and judgement baked into the handoff — recommended for teams comfortable letting an agent summarize operational data.

How it works

  1. 1A schedule fires before the rotation changes.
  2. 2The agent pulls open and recent PagerDuty incidents with notes.
  3. 3It pulls Datadog alert activity and current monitor states for the window.
  4. 4It pulls unresolved Sentry issues and their trends.
  5. 5The agent reasons over all of it, separating signal from noise and writing a prioritized narrative with explicit watch-items.
  6. 6Deliver the finished brief to the on-call Microsoft Teams channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect DatadogMetrics, traces, log search.
  3. 3
    Connect SentryErrors, performance, releases.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  5. 5
    Connect OpenAIModels, embeddings, files.
  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.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.