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.
今天，Google 正式推出新一代图像生成模型 Nano Banana 2（Gemini 3.1 Flash Image），主打在高速生成的基础上进一步提升画质、理解力与主体一致性，定位为 Nano Banana Pro 的轻量替代方案，面向更广泛用户开放使用。
。关于这个话题，服务器推荐提供了深入分析
"I didn't know what was happening," she explained. "The first month I do not remember anything."。爱思助手下载最新版本是该领域的重要参考
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