A new educational tutorial demonstrates how to build a local AI detector using Small Language Models. The project uses the detector as a verifier to train models that bypass detection. This approach explores verifier-based applications beyond standard math or code reasoning. Practitioners can use these steps to study the inherent limitations of current detection tools.