In this article, Database Administrator I describes building a local, AI-powered system using Ollama to analyze massive, automated SQL Server health reports that were previously unmanageable for human review. He explains how this approach, which keeps all sensitive data within the private network, solves the common industry problem of unread reports by using a local LLM to instantly correlate data, prioritize critical issues like log file growth, and provide actionable fixes. By transforming dense HTML reports into clear, intelligent summaries, I demonstrate how AI acts as a tireless mentor for junior DBAs and a sophisticated trend detector for seniors, ultimately evolving the DBA's role from reactive troubleshooting to proactive, data-comprehending management. https://www.linkedin.com/pulse/part-1-2-i-built-ai-powered-sql-server-health-monitor-ward-minson-6cdvc/