A structured learning framework helps developers dissect new open-weight model releases. The process prioritizes technical documentation and weight analysis over marketing claims. By focusing on LLM architecture patterns, practitioners can quickly identify performance bottlenecks. This systematic approach reduces the time spent on hype and accelerates actual implementation for AI engineers.