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.
It comes after Heraeus Medical, the main supplier of bone cement to the health service, has had to temporarily halt production at its main site affecting supply for up to two months.
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That's it. Any other response is either a variation of these (like "resize the buffer," which is really just deferring the choice) or domain-specific logic that doesn't belong in a general streaming primitive. Web streams currently always choose Wait by default.
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美國福特漢姆大學法學院教授珍妮佛‧戈登（Jennifer Gordon）接受BBC中文訪問時表示，只要某個產業相對於台灣本地工資「屬於低薪」，並依賴持「綁約簽證」的移工，同時工人還必須自行支付仲介費，「就存在高度強迫勞動風險。」
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