For Generalization, the follow-up prompts are designed to clarify and refine overarching theories by synthesizing existing principles and evaluating their applicability across broader contexts. Questions such as "What exceptions exist to this generalization, and how might they refine the rule?" ensure that the model does not settle for simplistic conclusions. In chemistry, where generalizations like "metals are good conductors" often have exceptions (e.g., bismuth or semiconductors), these follow-ups ensure that the reasoning process remains robust, and evidence driven.