A new educational project demonstrates how to build a local AI detector using small language models. The author uses the detector as a verifier to train a model that bypasses detection. This experiment highlights the inherent limitations of current detection tools. Practitioners can use this workflow to explore verifier-based applications beyond standard math or code reasoning.