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.
"He is going to make this choice knowing that Donald Trump is watching," he says.，这一点在快连下载安装中也有详细论述
KSENIASCHNAIDER's show was in complete contrast to Annie's highly crafted runway looks, which were a flurry of beading, embellishment and feathers.，这一点在im钱包官方下载中也有详细论述
2025-2026全球与中国宏观指标预期对比，更多细节参见Line官方版本下载