AI AGENTS
On-Call Shift Handoff Briefing from Honeycomb and Open Incidents
On a schedule at each shift change, the agent summarizes Honeycomb anomaly trends and open PagerDuty incidents into a single on-call handoff briefing posted to Slack…
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled shift-change time
- ActionQuery Honeycomb anomaly trendsHoneycomb
- ActionPull open PagerDuty incidentsPagerDuty
- LogicGroup by service and rank watch items
- OutputPost handoff briefing to SlackSlack
What it does
Generates a clean shift-handoff brief so the incoming on-call engineer starts informed. The agent reviews the last shift's Honeycomb anomalies, lists still-open PagerDuty incidents, and flags services trending toward trouble — turning tribal knowledge into a written handoff.
When to use it
Use it for rotations where context is lost between shifts and the new on-call discovers problems only when they page. Schedule it to run a few minutes before each handoff window.
How it works
- 1A scheduled trigger fires at the shift-change time.
- 2The agent queries Honeycomb for anomalies and slow-burning trends over the shift window.
- 3It pulls open and recently resolved incidents from PagerDuty.
- 4Logic groups findings by service and ranks watch items by risk.
- 5It composes a concise handoff brief with explicit things-to-watch.
- 6It posts the briefing to the on-call Slack channel and tags the incoming engineer.
Set it up
What you configure once, before turning it on.
- 1Connect HoneycombDistributed traces and queries.
- 2Connect PagerDutyIncidents, on-call, escalations.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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