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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.
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В Финляндии предупредили об опасном шаге ЕС против России09:28
记者看到，在一片对比试验田里，中国杂交水稻植株挺拔，穗大粒多。“看，这就是技术的力量。”达博蹲在田埂上，轻轻托起一株杂交稻穗：“中国专家教会我们如何科学浸种、催芽，如何控制移栽的密度，就像给水稻安排了舒适的家，让它们能充分吸收阳光和养分。”他介绍，如今当地每公顷水稻产量达到10.8吨，比当地水稻品种的产量高出2至3倍。
The European Service Module, which sits behind the crew capsule, is the European Space Agency's contribution to the mission and has been built by Airbus.