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.
After six agonising minutes, Jack Swigert's voice cut through the silence.
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International business
2022年10月，党的二十大闭幕后，习近平总书记第一次外出考察到了陕西延安、河南安阳看乡村振兴，一路思考在全面建设社会主义现代化国家新征程上如何加快建设农业强国、推进农业农村现代化。