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.
"Many of these churches have been on these sites for probably 1,000 years, and probably as long as they've been standing they've had bats in them," says Diana Spencer, from the Bats in Churches Project.。关于这个话题，safew官方版本下载提供了深入分析
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modified version of one of the LUCIFER implementations called DSD-11. Through
В России ответили на имитирующие высадку на Украине учения НАТО18:04，更多细节参见WPS官方版本下载
Определены перспективы дела на миллиард рублей основателя медиахолдинга ReadovkaСуд арестовал основателя Readovka Костылева до 25 апреля по делу о мошенничестве