An engineer is using a large language model to improve automated translations. They provide the model with an original sentence and its initial translation, followed by the simple instruction: Improve this translation. The engineer observes that the model's outputs are unpredictable; sometimes it makes only minor stylistic edits, while other times it rewrites the sentence entirely, without a clear rationale for the changes. The goal is to make the model's refinement process more systematic and reasoned. Propose a new, two-part instruction that would guide the model to first analyze the initial translation and then correct it. Explain why structuring the instruction in this sequential way is likely to lead to more consistent and justifiable improvements.