Writing PowerShell often means dealing with repetitive code, cryptic errors, documentation nobody wants to write, and tests everybody skips. AI tools can help, but only if you know what to ask, what to verify, and when the answer is confidently wrong. In this session, we'll use GitHub Copilot, MCP servers (which let AI tools query live systems such as Microsoft Graph rather than guessing), and other AI tools to tackle real PowerShell tasks, including refactoring scripts, generating documentation, hunting for bugs, and writing tests. We'll watch Copilot misdiagnose a script failure with complete confidence, then walk through how to catch that kind of mistake before it reaches production. This isn't a parade of perfect demos. You'll leave with a practical checklist for validating AI-generated PowerShell code, along with a better understanding of where these tools genuinely save time and where they quietly end up costing more than they save.