3am incidents, human response times
Something breaks at the worst possible hour. By the time someone wakes up, reads the alert, VPNs in and finds the log line, you’ve already burned twenty minutes of downtime.
We deploy an AI agent onto your infrastructure that watches your logs around the clock, diagnoses what’s wrong, takes corrective action through the AWS CLI, SSH and your existing tools — and when the fix is in the code, writes it and ships it through GitHub. Autonomous end-to-end DevOps, with guardrails you control.
Design + implementation from $15,000 · Monthly usage for tokens · Built on your stack
Why you’re tired
Something breaks at the worst possible hour. By the time someone wakes up, reads the alert, VPNs in and finds the log line, you’ve already burned twenty minutes of downtime.
A firehose of warnings, 95% noise. The real signal is buried, so it gets ignored — until the one that mattered becomes an outage.
Half your incidents aren’t infra — they’re a bad deploy, a leak, an unbounded query. Restarting buys time; someone still has to write the fix and ship it. Usually you.
What the agent does
We give the agent the same access a senior engineer would have — read your telemetry, run commands, open pull requests — scoped exactly to what you approve. It runs the full loop autonomously and reports what it did.
How it works
We map your infrastructure, your failure modes and your existing runbooks. We wire the agent into your telemetry and define exactly what it’s allowed to touch — which commands, which repos, which environments, what needs a human. This is the part that makes autonomy safe.
We build the automations, connect AWS, SSH and GitHub, and run the agent in shadow mode — it proposes actions, you approve them — until you trust it. Then we hand it the reins on the low-risk actions first and widen scope as confidence grows.
The agent runs around the clock on your infrastructure. You get a Slack summary of everything it handled, a full audit log, and a monthly review where we tune its scope and cut token cost. You pay for the compute and tokens it actually uses.
Autonomy you can trust
Handing an agent production access is only reasonable if you decide exactly what it can do — and can see everything it did. That’s how we build it.
Every command, repo and environment the agent can touch is allow-listed. High-risk actions wait for a human. You widen scope on your terms.
A complete, timestamped record of what it saw, what it decided, and what it did — with the reasoning attached. Auditable after every incident.
Pause it, revoke its access, or drop it back to shadow mode instantly. It runs on your infrastructure, under your credentials.
Before it acts autonomously, it’s earned it in shadow mode. Every fix comes with a diff, a PR and a rationale — not a black-box change.
What it costs
This is consulting to design and implement it right, then metered monthly usage — because every environment is different. The smallest engagements start at $15,000; complex, multi-service infrastructure runs higher. You’ll get a fixed quote before you commit.
One time. Scoped to your infrastructure.
You pay for the tokens and compute it uses.
The questions you’re actually asking
On your terms. It starts in shadow mode — proposing actions you approve — and only earns autonomy on the actions you sign off on. Everything it can touch is allow-listed, and you can pull the plug instantly.
High-risk actions require human approval, code fixes ship as pull requests through your normal checks, and rollbacks are one of its first-class actions. Every step is logged with its reasoning, so nothing is a mystery.
If a senior engineer could operate it from a terminal, the agent can too — AWS, GCP, bare-metal over SSH, Kubernetes, GitHub, your own scripts. We wire it into what you already run rather than making you switch.
Because a single web app is a different job than twelve microservices across three accounts. We scope it during the design phase and give you a fixed quote — starting at $15,000 — before you commit to anything.
We take the toil off them. The agent handles the repetitive, well-understood incidents automatically and escalates the genuinely novel ones to a human — with the context already gathered. Your engineers stop getting paged for the boring stuff.
It runs on your infrastructure under your credentials, and the automations we build are yours. Same principle as everything Coldstart does — no vendor holding your operations hostage.
See it in action
Watch the agent catch a 3am incident, trace it to a bad deploy, ship the fix through GitHub, and confirm recovery — while everyone’s asleep.
Book a scoping call. We’ll walk through your infrastructure and failure modes, tell you honestly what an agent can take off your plate, and give you a fixed quote — starting at $15,000 — before you commit to anything.
Usually scheduled within 48 hours · Referral partners welcome