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.
避免排名与比较。我或许更愿意成为贝克特或卡夫卡，但充其量，我也只能成为一个不错的模仿者。你能成为的最好状态，只能是成为最好的自己——那才是值得追求、值得发现的。而这，从根本上说，与别人正在做什么毫无关系。
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As with crypto-currency, records of who owns what are stored on a ledger that is maintained by thousands of computers around the world. These records can’t be forged because the whole system operates on an open-source network.