A structured learning workflow now exists to help developers dissect new open-weight model releases. The process prioritizes technical documentation and architecture papers over marketing claims. By isolating specific model parameters and training data, practitioners can better predict performance. This systematic approach removes the guesswork from evaluating LLM architectures and open-source weights.