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.
Артист отметил, что пленных наемников ВСУ у них было много и все они отвечали, что натовское оружие, в том числе М4 и SCAR, им неинтересно. Пленные поясняли: зарубежное оружие клинит и плохо работает, поэтому они предпочитают автоматы Калашникова.
。旺商聊官方下载是该领域的重要参考
You are now subscribed
The 55-year-old fan from Birmingham said the series helped put the city on the map.