A screenshot and a sentence,
an agent writes the full bug report
A tester or support agent who spots a bug usually sends a screenshot and a one-line message. Someone else has to turn that into a proper ticket, with steps to reproduce, environment details and the right component tag, before a developer can act on it. We build an agent that reads the screenshot and the note and writes the structured ticket itself, straight into your tracker.
Why a screenshot takes so long to become a ticket
Someone spots a bug, a tester, a support agent, sometimes a customer. The fastest way to report it is a screenshot and a quick note in a chat. Turning that into a ticket a developer can act on takes real work. Someone else has to read the screenshot, figure out what broke, write steps to reproduce, and tag the right component and severity. That work is mechanical, but it still eats real time.
Then there is the lag between a bug being spotted and it becoming a real ticket. Reports pile up in a chat, get missed, or get written up days later. By then, details like exact steps or the state of the screen have already faded from memory.
Consistency is the third problem. One person includes every detail a developer needs. Another writes a one-line summary that bounces back for clarification. The back-and-forth to get a usable ticket often takes longer than fixing the bug itself would.
None of this shows up as one dramatic failure. It shows up as a steady drag. Report work that should take minutes stretches into a backlog item. The quality bar holds on a quiet week and slips on a busy one. Everyone knows the fix is mechanical, but nobody has a free afternoon to build it.
What the agent does with each report
The agent reads the submitted screenshot and the note, and identifies the likely component or screen involved. Then it writes a structured ticket: a clear title, expected versus actual behavior, environment details, and a first pass at steps to reproduce. It tags the ticket with severity and component, based on your tracker’s existing taxonomy, so it lands pre-sorted rather than in a generic inbox.
Before creating a new ticket, it checks for likely duplicates against currently open issues with similar screenshots or descriptions. A probable match gets flagged for a person to confirm, rather than silently merged or silently duplicated.
Typical integrations: Slack, Telegram or a dedicated bot for where reports come in, and Jira, Linear or GitHub Issues for where the structured ticket lands.
What stays with your engineers
Diagnosing the actual cause of the bug, and deciding its real priority against everything else in the backlog, stays with your engineering team. The agent documents what was observed. It does not debug the code. Any likely duplicate the agent flags gets confirmed by a person before tickets are merged or closed.
Guards
Every generated ticket is logged against its source screenshot and note, so a developer can always trace a ticket’s steps back to exactly what the reporter saw. Component and severity tagging defaults get reviewed periodically against your tracker’s actual taxonomy. That keeps tickets from drifting into a stale or mismatched set of tags.
Before it runs unattended, we run a side-by-side dry run against a sample of your own past reports. Your team sees exactly what it would have done. Every build ships with a short written runbook, so your team can pause it, adjust a threshold, or roll it back without waiting on us. The running-cost estimate below is a starting budget you set, with an alert built in before it is crossed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $500 | Screenshot analysis to identify the likely component and error | 3 to 7 days |
| Department package | from $2,500 | Bug report generation, support triage and test generation across your engineering team | 2 to 4 weeks |
Running cost is usually $10 to $80 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with support ticket triage when bug reports arrive mixed in with general support volume. Test generation turns a fixed bug into a regression test automatically. For written documentation of what changed once a bug is fixed, see release notes. The full package breakdown is on the AI agents service page and the development service page. For a real build of this kind of internal tooling, see the TaskWall wallpaper to-do app case study and the factory ERP recovery case study.
Ready to stop rewriting a screenshot into a usable ticket by hand? Get in touch and we will connect your tracker in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How much does screenshot-to-bug-report cost?
From $500 to connect one submission channel and one issue tracker, live in 3 to 7 days.
Which trackers does it work with?
Jira, Linear, GitHub Issues or a similar tracker. Ticket fields map to whatever taxonomy your team already uses.
Can non-technical users submit reports, not just QA testers?
Yes, that is a common use case. Support agents and even customers can submit a screenshot and a short note, and the agent fills in the technical structure a developer expects.
Does it guess at the cause of the bug?
It documents what the screenshot shows, what the user reported, and expected versus actual behavior. It does not diagnose the underlying code cause, which stays a developer's job.
How does duplicate detection work?
New reports are compared against open tickets for similar screenshots and descriptions. A likely duplicate gets flagged for a person to confirm, rather than silently merged.