A new learning-oriented workflow provides a structured method for dissecting open-weight model releases. It prioritizes technical documentation and weight analysis over marketing claims. This approach helps developers quickly identify architectural shifts in LLMs. Practitioners can use this system to evaluate model efficiency and performance without relying on curated benchmarks from AI labs.