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.
"There were days I cried because I couldn't find my slippers."
。关于这个话题，爱思助手下载最新版本提供了深入分析
В январе официальная инфляция в России составила 1,62 процента, хотя данные по неделям давали рост цен более чем на 2 процента. Расхождение в результатах возникает из-за разных корзин товаров и услуг (месячная корзина больше), однако столь значительная разница наблюдалась впервые.。safew官方下载是该领域的重要参考
那时，我从攀枝花独自来成都念书，平日在学校寄宿，周末回到小姨家。这是个三代同堂的大家庭——外公外婆、小姨小姨父和三表妹，还有在外地打工的舅舅家的二表妹。