AI agents for engineering and operations
The weekly busywork, done before you ask.
Agents that write the standup digest, triage new issues, summarise on-call and draft release notes, on a schedule, with every run recorded and alerts when one breaks.
The job
Reports and triage that someone does every week.
Standup notes, a summary of last night's pages, the new issues sorted, the release notes drafted. Each is small, read by the whole team, and done by hand every week. They are good jobs for agents that run on their own, as long as you know when one stops working.
How it runs
On a schedule, on the record.
Each agent runs on a schedule with your tools connected: GitHub, Linear, Jira, Slack and more. Every run is recorded with its steps and cost, alerts fire when an agent fails or goes quiet, and built-in analysts point out what to fix.
- Your tools, connected. Read issues and pull requests, post to Slack, update tickets.
- Runs on its own. Daily or weekly, in your timezone, with no one starting it.
- Alerts when it breaks. A failed run or an agent that stops running reaches you in the app, by email or by webhook.
- What to fix. Built-in analysts read the runs and report failures, slow steps and cost.
Our own fleet
We run our company on these agents.
In the last 30 days about two dozen of our agents did real work in our own workspace.
Before and after
The same reports, without the Monday morning.
By hand
- Someone collects updates from three tools every morning.
- Last night's pages are summarised when someone has time.
- Release notes are written the day of the release.
With agents
- The digest is in Slack before the standup.
- The on-call summary is waiting at the start of the day.
- Release notes are drafted from the merged pull requests.
Questions
What teams ask first.
How do I know when one of these stops working?
Which tools can it use?
Start from a template
Agents for this job, ready to install and adapt.
- OperationsStandup DigestPulls each engineer's in-progress Linear issues and posts a per-team daily standup digest to Slack at 9am, who's on what, what's blocked, what shipped yesterday.Advanced setupLinearSlack
- OperationsIssue TriageReads new GitHub or Linear issues, applies labels (type, area, priority), checks for duplicates against existing issues, and comments with a triage summary.Advanced setupGitHub
- OperationsCI Failure InvestigatorOn a failed GitHub Actions run, fetches the workflow logs, classifies the failure (flake / real / infra), and posts a diagnosis comment on the PR so reviewers know whether to retry or fix.Advanced setupGitHub
- OperationsOn-call Pager SummaryEvery morning, summarizes overnight alerts and incidents from your AgentOS observability + Slack #alerts channel into a single 'what happened, what's still open' message for the on-call.Advanced setupSlack
- OperationsRelease Notes DrafterWhen a new tag is pushed, drafts release notes from merged PRs since the previous tag and writes them to a Notion page for review.Advanced setupGitHubNotion
- IntelligenceWeekly Engineering ReportEvery Monday morning, summarizes the past week's GitHub activity (PRs merged, issues closed, top contributors) and Linear cycle stats into a single Slack post and a Notion archive page.Advanced setupGitHubLinearSlackNotion
What it runs on
The parts of AgentOS this job leans on.
Go deeper
How it works, in detail
Docs
From the blog
Case study · 27 September 2026How we run AgentOS on AgentOS
Our support, outreach, onboarding and social posts run on our own agents. What that looks like, and four things it taught us.
Guide · 23 August 2026How to know when an AI agent breaks
Agents fail quietly. The signals worth watching, the alerts that catch them, and how to get from a failure to a fix without reading every run.
Pilot
Try it on one real workflow.
We build the agent with you, with an approval gate on the risky step, and report what it did.
Integrations
18 apps, your models, your APIs.
Connect GitHub, Gmail, Slack and more once, describe any HTTP API as a tool, and choose the model per agent.
Give one job to an agent this week.
Start from a template, gate the sensitive step behind your approval, and read the first run end to end.