The 2AM Agent
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Engineering your way out of the 2am call

Your incidents, investigated before you're awake.

The 2AM Agent generates and tests hypotheses the moment an alert fires, then hands your on-call engineer a likely root cause with the evidence — without your data ever leaving your walls. Self-hosted, read-only, runs on your own model. And it keeps the tools you already run.

Read-only by architecture
Runs in your infrastructure
Your own model
Open source, auditable
Where the 2am call goes wrong

You've tooled everything except the slow part.

Paging, channels, status updates — all solved. Resolution still stalls where it always has: actually figuring out what broke.

Your best debugger can't be on every call.

When the person who "just knows" is asleep or has moved on, incidents drag — hypotheses aren't shared, access is uneven, and the same outages get re-diagnosed from scratch.

2am is quietly costing you engineers.

Paging your best people to stare at dashboards in the dark is an attrition tax — it shows up in retention long before it shows up in a metric.

What your team wakes up to

The slow part, already underway before you're awake.

The moment an alert fires, the agent has generated and tested hypotheses and has a likely root cause — with the evidence — waiting for whoever logs in. The step that gated resolution is the step that's now compressed.

Every incident gets your best engineer's first pass.

The same rigorous investigation runs whether it's your principal or your newest on-call — so resolution stops depending on who happened to get paged.

The same outage stops coming back.

Trustworthy timelines and postmortems write themselves, and memory of past incidents compounds — so each one is resolved once, not rediscovered every quarter.

How it works
01

An alert fires. Or you ask.

It triggers off the monitoring you already run — or on demand, the moment something feels off.

02

It investigates, read-only.

It forms hypotheses and tests them against your metrics, logs, traces, and what changed in your last deploys — following the failure across services to where it actually started, not just where it surfaced. The questions a senior engineer would ask, run in parallel, never touching production.

03

You get a root cause, with the evidence.

A likely cause, the queries behind it, and a confidence level — and an honest "undetermined" when the data won't resolve.

Six signals, correlated in one pass
From your existing tools
Metrics
Logs
Traces
Deployments
Past incidents
Architecture docs
e.g. Prometheus · Loki · Jaeger · Git · Jira · your wiki

The 2AM Agent

Correlates every signal in parallel

A likely root cause — with the evidence

It suggests the fix — it never makes it. The agent recommends and shows its working; a human always decides. No confident guesses dressed up as answers, and nothing that can act on your systems.
How it gets in

Nothing to rip out.

It works on the monitoring, Slack, and Jira you already run — no migration to a new platform, no per-seat lock-in to negotiate.

Proven in staging before a single signature.

It's open source — an engineer can install it, point it at a test cluster, and see a real investigation the same afternoon. Value first, procurement later.

The security review is the easy part.

Runs in your own infrastructure, read-only by architecture, open and auditable — there's nothing to exfiltrate and nothing that can touch production. Easy to say yes to.

Built in the open

No black box. Read the code, follow the build.

The 2AM Agent is open source and built in public — every experiment, including the ones that fail, gets written up as we go. You can see exactly how it investigates before you ever run it.

See it investigate your next 2am incident.

Self-hosted, read-only, on your own model. Be among the first teams to run it.