A developer trained a logistic regression and SVM classifier using data generated by large language models. This approach leverages LLMs to create synthetic labels for comment classification. The project demonstrates a simple pipeline for distilling complex model reasoning into lightweight statistical tools. Practitioners can use this method to reduce inference costs for basic text filtering.