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.
Мощный удар Израиля по Ирану попал на видео09:41
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族群融合为统一性做了又一注解。东周时期，中原农耕人群北进，与南下的北方游牧族群齐聚于今内蒙古中南部，开启了波澜壮阔的人群迁徙、互动、交流并融合的历史进程，最终融入统一的多民族国家之中。斯人已逝，但他们的颅面特征化为一条条精确的量化数据，为张旭提供了复原那段历史的证据。农牧交错带不是文明断裂的边陲，而是民族融合的前沿阵地。