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.
AcceptQuestResponse AcceptQuest(BelfryInventoryId inventoryId, AcceptQuestRequest request);
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Наталья Обрядина (Редактор отдела «Забота о себе»)
投资者的担忧并非无中生有。今年 1 月底 Cowork 开放插件支持后，市场立刻作出了最坏打算——毕竟当 AI 把法律文件审阅、合规追踪、财务建模这些原本按席位高价收费的功能包，压缩成随装即用的工作流组件，传统软件的护城河将遭受最严厉的质疑。
In addition to being cleaner for the environment, he said it could be "cheaper to get rid of that waste through an anaerobic digestion plant" than other methods.