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.
但广告化并不天然等于价值创造。当所有商户都必须通过竞价才能被看到时，广告费便从增量工具演化为入场券。单个商户的理性选择，是继续加价以维持原有订单量；但从整体看，供给侧为此付出的总成本却在不断上升，而需求并未同步扩大。平台收入提高，但供给侧整体并未获得更多有效需求，反而陷入内耗式竞价。这种结构下，广告化更像是将抽佣换了一种更隐蔽的形态，甚至加剧了零和博弈。，更多细节参见搜狗输入法下载
Sometimes it takes a long time before I figure out what I actually want to write, and then everything falls into place:。关于这个话题，搜狗输入法2026提供了深入分析
在这个承前启后的节点，每一次更迭，是个体转场跃迁的落款，亦是企业演进变迁的注脚。。业内人士推荐爱思助手下载最新版本作为进阶阅读