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.
杨寨岭有好几个岔峪，从峪口向上延伸，如同一把半旧的扫帚，被人随手丟在秦岭里。在其中的一个不怎么有名的峪里，有一道瀑布。在春夏，飞流直下三千尺，到了深秋与整个冬天，有冰凌不绝。我见过冰凌从岩顶垂挂几十米而下的壮观，像一匹透明的白帘，也见过它开化而垮塌的震撼，比大厦倾覆更惊骇。那一年由秋至春，一群人眼看着大冰起高楼，又眼见着楼塌了。
但 Patty 还有另一个功能：它会监听员工与顾客的对话。。业内人士推荐WPS下载最新地址作为进阶阅读
Publication date: 10 March 2026，更多细节参见旺商聊官方下载
Фото: CandyRetriever / Shutterstock / Fotodom
"That's when the body doubles, hand doubles, back doubles come in handy."。业内人士推荐PDF资料作为进阶阅读