Resona 把文档当作 AI 智能体的知识边界,将一份固定知识转化为多条对话路径。创建者定义交互目标,智能体基于源材料在对话中动态调整解释方式以达成该目标。相比传统文档聊天机器人的被动应答,Resona 让智能体同时拥有知识基础和对话方向。
This AI makes a useful distinction between knowledge and delivery.
@MeetResona is treating the document more like the knowledge boundary for an agent, turning one fixed body of knowledge into many possible conversational paths.
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.
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.
Here, the document supplies the grounded knowledge, but the agent also has a direction for the conversation.
来源:@rohanpaul_ai · x.com