Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
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松下曾一度将电视业务列为考虑撤出或出售的「课题业务」，而此次与创维的全面合作，被内部视为摆脱这一困境的关键节点。（松下目前正在全球推进约 1.2 万人的裁员，但此次业务转移暂不涉及新的人员削减）。业内人士推荐Line官方版本下载作为进阶阅读
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