How Alloy Wheels Direct Fixed a 2-Month Bug in 1 Hour With an AI Employee

Chris Murray runs Alloy Wheels Direct, a growing e-commerce operation selling alloy wheels across the UK. Like most founders, he's not a developer. His tech stack handles the heavy lifting. But he didn't know a critical problem had been silently breaking his business. A login bug had been active for two months. Users were getting random redirects mid-session, forcing them to log in again. Every redirect was a lost opportunity. Every lost opportunity was money walking out the door. His dev team had missed it entirely. On top of the login bug, his site was rotting from technical debt. Hundreds of 404 pages. Broken internal links. Missing meta tags killing his SEO. Exposed environment credentials creating a real security risk. None of it was visible day-to-day. All of it was costing him.

Chris deployed an AI employee and gave it a simple directive: audit everything. The agent went to work across three fronts simultaneously. It scanned the codebase, traced the authentication flow, and found the login redirect bug that had been silently costing him conversions for two months. It drafted a pull request with the fix, ready to merge. No back-and-forth with developers. No consultants needed. Just the fix. At the same time, the agent audited his SEO. It identified hundreds of 404 error pages tanking his search rankings, mapped broken internal links across the site, and flagged missing meta tags on key product pages. Instead of generic recommendations, it delivered a prioritized fix list ranked by impact. The security audit was equally thorough. The agent detected exposed environment credentials and flagged them as critical. No breach had happened yet. But it could have. The difference between reactive firefighting and proactive discovery is everything.