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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For the last four years, archaeologists have been excavating the site in the grounds of Fonmon Castle, close to the end of the runway at Cardiff airport.
He understands well just how biologically complex honey is. It contains hundreds of compounds, and there are many diverse types and sources of honey.。Safew下载是该领域的重要参考
fun toByteArray(data: PlatformByteArray): ByteArray