I let an AI agent run my SEO site. It broke things. I published the bugs
The author let an autonomous AI agent manage their SEO-focused website, but the agent introduced bugs and broke site functionality. Instead of fixing the issues quietly, they published the vulnerabilities and glitches caused by the AI-driven management as a transparent case study.
Background
- The author runs TokenMaxxing.com, a crypto/SEO blog, and let an AI agent (likely a coding or automation agent like AutoGPT, Devin, or a custom script) autonomously manage the site — writing posts, setting up pages, tweaking SEO settings.
- The AI agent introduced bugs: broken links, duplicate content, nonsensical metadata, or logic errors that hurt SEO rather than helped. The author published the full changelog or bug list to show what went wrong.
- This matters because "AI agents"—systems that can plan and execute tasks independently—are being hyped as replacements for human webmasters, SEO specialists, and content managers. This real-world experiment reveals the gap between promise and reality: agents still make dumb, hard-to-catch mistakes that damage site performance.
- The story is part of a growing genre of "I let AI run my business" posts that test whether autonomous AI tools are production-ready, usually finding they are not.