The CEO’s problem

A customer says checkout is broken. Your team forwards it to the vendor. The vendor asks for screenshots. Two weeks later the ticket is still open, and the invoice still counts the hours.

Can you relate? The bug is rarely the expensive part. The waiting is.

What the AI does

The AI first turns the complaint into a precise reproduction: which page, which steps, which browser, what was expected and what happened instead. A bug you can reproduce is half fixed.

Then it reads the relevant code, proposes a fix, and runs the same steps again to prove the fix works. A person on your team reviews it before anything ships.

What you get

  • Bug reports your vendor or team cannot argue with.
  • Small fixes done in-house, in hours, without opening a paid ticket.
  • For the big ones, a clear brief, so you pay for the fix and not for the investigation.

Who does the work

Your team does, with AI beside them. In the session I set it up on your real codebase or system, and we fix a real bug together.