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.
特朗普與政府高層官員先後提出了各式各樣的說法，解釋他們希望在這場美國20年來最大規模的中東軍事行動中達到什麼成果——以及美國是否意在支持推翻德黑蘭政權。，这一点在同城约会中也有详细论述
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Израильский премьер обратил внимание, что он выступает в месте, которое подверглось бомбардировке. По его словам, власти Ирана нападают на мирных жителей, в то время как Израиль нападает на иранские власти, чтобы защитить мирных жителей.
长视频这两年给人一种越努力、越心酸的感觉。，推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息
ghost commit --agent claude --model claude-opus-4-6 -m "architect a microservices migration plan as code comments"