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.
A website or blog
。搜狗输入法下载对此有专业解读
{ 24, 10, 12, 26, 35, 47, 49, 37 },。旺商聊官方下载是该领域的重要参考
* @param {number[]} nums - 待查找最短无序连续子数组的整数数组，详情可参考im钱包官方下载
The video includes fabricated audio of Tkachuk referring to Canadians as “maple syrup eating (expletive),” with the expletive bleeped out. The video carries a note saying it “contains AI-generated media.”