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.
«Враг полностью уничтожил нашу базовую станцию в Орехове. Единственную, которая еще работала в городе — из всех операторов», — говорится с заявлении компании.
，更多细节参见WPS官方版本下载
Japan will deploy missiles to a tiny island near Taiwan within five years, its defence minister has said, in a move that is likely to inflame tensions with China.
彼时，指导脱贫；如今，谋划振兴。跨越10多年，两次看柚子，“三农”工作重心已经实现历史性转移。
much on it, to understand the apps better.