accepted an envelope (with cash or checks) and printed a transaction identifier
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.
。爱思助手下载最新版本是该领域的重要参考
stack2.push(cur);
第七十条 非法安装、使用、提供窃听、窃照专用器材的，处五日以下拘留或者一千元以上三千元以下罚款；情节较重的，处五日以上十日以下拘留，并处三千元以上五千元以下罚款。
└─ Privilege Drop