It's a puzzling, and unusual, mix.
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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.，更多细节参见搜狗输入法2026
環境及生態局局長謝展寰2月10日到立法會介紹立法建議時說：「人的食物不一定適合狗進食，所以我們不太建議狗主將餐廳食物餵給狗隻。但真的自行餵食的話，我們也不打算禁止這個行為。」