Uptime Monitoring
It's Friday evening and a service stops responding. Nobody texts you, because this agent already noticed. It runs checks around the clock on the services you flag as critical, and the moment one trips it drafts an incident summary — what broke, when it started, the likely cause, who's affected — into the channel your team already watches. It never fixes the outage on its own, and it never emails your client.
Yours outright — no required subscription.
Every agent is built for your business — your systems, your approval chain, your way of working. We scope it on the call.
If this sounds too technical, don't worry. We take care of everything for you.
- Private VPS deployment. This agent runs on a server that belongs to you, not a shared cloud tenant. The check history and every incident timeline it writes stay on your box.
- A technician agent alongside it. Every hire ships as a pair: the Uptime Monitoring Agent watching your services, and a VPS-technician agent keeping the box it runs on patched, backed up, and monitored. One hire, two agents — and the second one earns its keep here, because a monitor that quietly died is worse than no monitor at all.
- A watch list you sign off on. Every service, endpoint, and scheduled job you want covered, written down with what healthy means for each one: the URL, the expected response, a keyword that has to be on the page, certificate days remaining, how often a job has to check in. Coverage is a decision you make out loud, not one that gets assumed.
- Alerts and summaries in the channels you already watch. It fires into your existing alerting channel and your existing on-call rotation, and the incident summary lands there as a draft. Nothing new to log into, and nothing that only works if someone remembers to check a dashboard.
- Security hardening. Private VPN, firewall, and encryption configured on your server before it starts watching anything.
- 14 days of priority support after launch, which is when thresholds and consecutive-failure counts actually get tuned against your real traffic. They are never right on day one.
- You own everything — the server, the agent, the code it runs on, and the full check history it keeps.
Not sure it fits? Check fit in 90 seconds in the free assessment chat.
Who this is for
- You found out a site was down because the client texted you. Monitoring exists somewhere, but it was set up once by someone who has since left, and nobody has reconciled the list against your active clients in a year.
- You watch the homepage, so nothing alerted — the part that was actually broken was checkout, and the first real signal was the afternoon revenue number looking wrong.
- You're the one person who knows how to check the servers, which makes you the on-call rotation, the escalation policy, and the vacation risk all at once. Anything that breaks at 6pm Friday runs until Monday.
- You have an uptime clause in a client contract, and the "here's what happened" email gets reconstructed from memory two days later with the timestamps rounded, because nobody was keeping a timeline while they were busy fixing it.
How it earns trust
The failure mode of AI in monitoring isn't that it's sometimes wrong — every monitor is. It's that it can be wrong in two opposite directions, and the silent one never announces itself. This agent takes the opposite bet: both kinds of wrong leave an artifact you can open and read.
The raw check log, not the agent's recollection
Every check is timestamped and retained on your own box. Open the history for any service and you see the first failed check, how many consecutive failures preceded the alert, which vantage point ran it, the response code, and the response time — then hold the timeline it wrote up against the record.
Every "likely cause" is labeled as an inference
Each cause line shows the evidence it leaned on: the commit and deploy timestamp it correlated to, the certificate expiry date, the specific log lines it pulled. It correlates, so it can be confidently wrong — and when it is, you can see in one glance which piece of evidence misled it, before anyone spends an hour rolling back a good change.
A coverage report, and a dead-man's switch
A standing report lists every service on the watch list, when each was last checked, and what was checked — that's how you catch a monitor that stopped running or a site nobody ever added. And if the agent itself goes quiet, the silence is what pages you.
All of it lands in the channels and the rotation your team already watches, not in a bebuilt console you'd have to remember to open.
Pairs well with
These share a workflow with this role. Tick any to add them to your setup.
We already have monitoring, but everyone muted the channel months ago. Why would this be different?
Because the noise is the thing being fixed, not a side effect. Alerts fire on consecutive failures across more than one vantage point, not on a single blip, and repeat checks of the same failure get folded into one incident rather than a stream of down/up pairs. Every fold is logged with the rule that did it, so "why didn't I hear about this" always has an answer you can read. Honest limit: tuned too sensitive, it can recreate the same noise with better prose in it. That tuning is a conversation during the 14-day support window.
The homepage was fine, so nothing alerted. Checkout was the part that was broken.
It watches what you point it at, which is why the watch list is a deliverable rather than a default. Point it at checkout, the intake form, the payment callback, and the nightly job, and it checks those. Its real weak spot is gray failure: a page that returns a healthy response with an empty product list, a form that posts fine but never sends the email. It is much better at catching "down" than "up but wrong," and keyword and content checks narrow that gap without closing it.
Does it just fix things while I'm asleep?
No. It detects and reports. The one exception is a narrow restart policy you write and name during setup — restart this specific worker, retry this specific job — and outside that it never invents a remediation, rolls back a deploy, changes DNS, or edits production config or code. It also never quietly drops a service from the watch list or permanently silences a monitor. Removing something from coverage is a human edit with a name and a timestamp on it.
I'm the only one who knows how to check this, and I was on a plane. Does it wake somebody else up?
It fires into the rotation, the tiers, and the escalation policy you already have. It doesn't reorder them, skip a level, silence a page, or decide an incident is small enough not to wake someone. It adds a step to your escalation; it never removes one. If you don't have a rotation yet, that's a real gap and we'll say so on the call — this agent makes an existing escalation faster, it isn't a substitute for having one.
Every outage I lose an hour reconstructing what happened for the client email.
The timeline gets kept while the incident is happening instead of rebuilt from memory afterward: first failed check, alert, restore, with real timestamps. The agent drafts the summary from that. It never sends that communication to your client or your customers — it lands as a draft and a person decides whether it goes out, to whom, and in what words. On a contract with an SLA, that sentence has legal weight and it stays with a human.
What's covered under the $1,997 setup, and what isn't?
One company, one system of record, one approval chain, and a watch list scoped on the free 15-minute call. Typically live in about seven days from kickoff. Multiple companies with separate on-call rotations, or a deep custom check written against an internal system nobody outside your team can reach, is a scoped conversation rather than a price adjustment — we'll figure out the right shape on the call.
Hiring more than one? A department on tap — the subscription puts a build team behind every request, agent after agent.