Bug Triage
A bug report lands — a screenshot pasted into a shared channel, a client email forwarded with "URGENT?" added, a ticket from a QA contractor. This agent picks each one up, checks it against what's already reported, tags severity against criteria you define, and attaches a likely owner with its reasoning. It never closes a ticket and never merges one. Your engineers open a queue that's already sorted instead of a pile spread across four tools.
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. Your clients' bug reports — screenshots, account names, URLs and all — stay on your box.
- A technician agent alongside it. Every hire ships as a pair: the Bug Triage Agent doing the sorting, and a VPS-technician agent that lives on the same box and keeps it healthy — patched, backed up, monitored. You're not hiring one thing, you're hiring a small team of two.
- Communication channel connection. Wired into wherever reports actually arrive — a shared client channel, a support alias, your issue tracker's intake — so nothing has to be forwarded to it by hand.
- Your severity criteria, written down. Impact, affected users, whether there's a workaround: the rules your lead already applies in his head get turned into criteria the agent matches against and cites. Written once during setup, editable by you afterwards.
- Security hardening. Private VPN, firewall, and encryption configured on your server before it reads a single report.
- A live walkthrough, then 14 days of priority support. We sit down on a call and show you what each agent does and where it stops, then stay on for two weeks to tune the severity rules against the reports your real clients actually send.
- You own everything — the server, the agent, the code it runs on.
Not sure it fits? Check fit in 90 seconds in the free assessment chat.
Who this is for
- You're a 14-person shop running six client projects, and bugs arrive in six separate shared channels plus a support alias. Your tech lead reads all of them Monday morning before he touches code.
- You get bug reports from people who aren't engineers — an account manager, a client's office manager, a screenshot with no URL, no browser, and no account — so every report starts with a day of going back and asking.
- You have one person who remembers what's already been reported. When they're out, the same bug gets filed three times and two developers start the same fix without knowing it.
- You can't tell urgent from loud. Everything the client sends is marked urgent, so nothing is, and checkout failing for one card type sits under a pile of cosmetic complaints until somebody calls at 3pm.
How it earns trust
The failure mode of AI in triage isn't a wrong label — a tired lead sets those too. It's that a clean severity, a clean owner, and clean labels look verified even when the report underneath was three lines with no URL. This agent bets the other way: every tag it sets shows its work.
A stamped triage note under every report
The original report is kept verbatim and linked back to wherever it arrived. Under it, the note says which severity rule matched and on what evidence, which prior tickets it considered as duplicates and why it thought they matched, and which signal picked the owner — file path, label, prior ticket, on-call list — with how confident it was.
An unsure queue you can go look at
Anything under the confidence threshold lands there instead of getting a tag it can't defend. Check it the way you'd check any queue — and note that an unsure queue which is always empty is itself a warning sign worth chasing.
Its mistakes stay where you can see them
Because it never closes anything, a wrong call sits in the open queue rather than disappearing. Compare the severity it assigned against the severity your engineer actually worked it at: a standing list of divergences — tagged minor, fixed same day — tells you it's miscalibrated without anyone having to remember.
The worst thing this agent can do is put a wrong label on a ticket that is still open and still visible — and we spend the first two weeks tuning those rules against your reports rather than a generic severity ladder.
Pairs well with
These share a workflow with this role. Tick any to add them to your setup.
Monday morning there are forty messages and I don't know which one is actually on fire. Does this fix that?
It gets you a sorted queue instead of a pile: each report structured, checked against prior tickets, tagged with a severity that names the rule it matched. What it can't do is know that a report is the leading edge of an outage. A regression from a deploy an hour ago has no history to match against, so the first report of it looks like a one-off. That's why the note under every tag shows its evidence, and why the tag is a starting point for your lead, not a verdict.
Three people opened the same ticket. Will it catch that?
It flags likely duplicates and links them in both directions, so you can open the pair side by side and say "no, different bug" in one click. It never merges, closes, or deletes anything. That restraint is deliberate: "checkout won't complete" from a rendering bug and from a declined-card path read as the same sentence and are two different bugs, and a merged duplicate is a bug that quietly stops existing.
Half of these don't even say what browser they were on.
Then it says so rather than inventing structure. A report with no page, no browser, and no repro steps lands in an unsure queue instead of coming out with a confident severity and an owner attached. It also never replies to the person who reported it — the follow-up asking a client for a URL and a screenshot stays a human decision, because what a client gets told about their bug, and when, is yours to control.
Everything the client sends is marked urgent. How does it set severity?
Against your criteria — impact, affected users, workaround availability — not against tone. This is the part we watch hardest, because the honest failure mode runs both ways: a polite report of a catastrophe reads calm, and an all-caps complaint about a misaligned button reads critical. The agent cites which rule it matched and on what evidence, so a bad call is visible and correctable rather than buried.
I find out prod is broken when a client calls me. Will it page someone?
No. A severity tag is a label on a ticket, not a trigger that pulls someone off in-flight work at 2am — your escalation path stays yours, exactly as it is. It also never touches code or production: no fixes, no pull requests, no rollbacks, no config changes. The bug stays with your engineers. It sorts the queue; it doesn't decide who gets woken up.
What's covered under the $1,997 setup, and what isn't?
One company, one system of record, one approval chain — assembled for your stack, typically live in about seven days from kickoff. Your existing routing and sign-off stay as they are; the agent adds a step, it never removes one. Cleaning up four hundred old tickets nobody trusts is a separate conversation: it triages what arrives from the day it goes live. We scope all of it on a free 15-minute call.
Hiring more than one? A department on tap — the subscription puts a build team behind every request, agent after agent.