A new learning workflow provides a structured method for dissecting open-weight model releases. It focuses on mapping technical specifications to actual performance outcomes. Practitioners can use these steps to quickly identify architectural deviations in LLMs. This systematic approach reduces the time spent parsing dense research papers during new model evaluations.