A developer trained a logistic regression and SVM model using labels generated by an LLM. This approach uses high-capacity models to bootstrap smaller, faster classifiers for comment moderation. It demonstrates a practical pipeline for distilling LLM knowledge into traditional ML. Practitioners can use this method to reduce inference costs while maintaining high accuracy.