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.
"variations.type": 1,
Apple Media Helpline。体育直播是该领域的重要参考
Overall, Yuanji Foods’ investment appeal lies in the growth potential of a niche segment and the room for imagination around scaled expansion, while the risks are concentrated in the sustainability of its model and the stability of profitability. The crux of its future development is to find a balance between scaling up and quality control, achieving a shift from “leading in quantity” to “leading in quality.” This will not only determine the company’s own performance in the capital markets, but also shape market confidence in the capitalization of Chinese-style fast-food subcategories.，详情可参考体育直播
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Зеленский заявил о запросе от США на участие Киева в ситуации на Ближнем Востоке20:47，更多细节参见谷歌浏览器【最新下载地址】