换句话说，“天然药物+DDS”是一个逻辑闭环，但是否构成真正的护城河，取决于临床数据能否支撑差异化定价。
ROI（投资回报率）倒挂：因底层缺乏金融词库的“前置过滤”能力，L2系统的生成结果依然需要极高强度的人工后置审核。实测表明，金融机构合规人员逐字核对AI稿件的边际成本，往往彻底抵消了机器带来的生成效率提升。
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A Foreword on AGENTS.md#One aspect of agents I hadn’t researched but knew was necessary to getting good results from agents was the concept of the AGENTS.md file: a file which can control specific behaviors of the agents such as code formatting. If the file is present in the project root, the agent will automatically read the file and in theory obey all the rules within. This is analogous to system prompts for normal LLM calls and if you’ve been following my writing, I have an unhealthy addiction to highly nuanced system prompts with additional shenanigans such as ALL CAPS for increased adherence to more important rules (yes, that’s still effective). I could not find a good starting point for a Python-oriented AGENTS.md I liked, so I asked Opus 4.5 to make one:
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