A developer trained a logistic regression and SVM classifier using data generated by large language models. This approach uses LLMs as synthetic labelers to categorize comments. The project demonstrates a simple pipeline for distilling complex model reasoning into a lightweight, traditional statistical tool. Practitioners can use this method to reduce inference costs for basic classification tasks.