MeetResona：基于文档边界的对话式Agent新范式
This AI makes a useful distinction between knowledge and delivery.
This AI makes a useful distinction between knowledge and delivery.
这项 AI 在知识与交付之间做出了有用的区分。
@MeetResona is treating the document more like the knowledge boundary for an agent, turning one fixed body of knowledge into many possible conversational paths.
@MeetResona 将文档更多地视为智能体的知识边界，将一个固定的知识库转化为多种可能的对话路径。
The creator defines an outcome for the interaction, and the agent uses the source material while adapting how it explains things as the conversation moves toward that outcome.
创建者定义了交互的目标，智能体在使用源材料的同时，会根据对话向该目标推进的方式调整其解释方式。
A normal document chatbot is reactive. The user decides what to ask next, so the quality of the session depends heavily on whether they already know the right questions.
普通的文档聊天机器人是被动响应的。用户决定下一步问什么，因此会话的质量在很大程度上取决于用户是否已经知道正确的问题。
Here, the document supplies the grounded knowledge, but the agent also has a direction for the conversation.
在这里，文档提供了有据可依的知识，但智能体也拥有对话的方向。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力