A 9B open-weight model was fine-tuned using Reinforcement Learning (RL) at a cost of $500 to specialize in catalog reviews. This specialized model outperformed frontier models on this specific domain task. The experiment demonstrates the efficiency of targeted RL fine-tuning for niche technical applications.