Livid demonstrates using V2EX Chat as AI customer support by describing product features in a custom node's posts
English summary
Livid demonstrated that by creating a custom node like /go/wunder on V2EX and posting detailed product feature descriptions there, V2EX Chat can answer product-related questions using those posts as context. The example uses a specific edge.v2ex.com chat session link to show the AI replying solely based on node content. This effectively turns V2EX Chat into a retrieval-augmented knowledge base, enabling product Q&A without building a separate chatbot.
Chinese summary
Livid 演示了在 V2EX 上建立自建节点（如 /go/wunder），将产品功能描述以帖子形式发布在该节点后，V2EX Chat 即可基于这些内容回答产品相关问题，形成检索增强的 AI 客服。示例通过一个 edge.v2ex.com 聊天对话链接展示了仅依赖节点帖子的问答效果，无需额外开发聊天机器人即可实现产品知识库问答。
Key points
V2EX Chat can serve as an AI customer support agent for a product when a custom node contains posts describing its features in detail.
当自定义节点中发布详细产品功能帖时，V2EX Chat 可作为该产品的 AI 客服。
The demonstration used the /go/wunder node and a specific chat session URL to confirm that responses are drawn from node content.
演示利用 /go/wunder 节点和一个特定聊天链接，证实回复来自节点内容。
This approach leverages existing V2EX retrieval-augmented generation without requiring a separate chatbot build.
该方法利用了 V2EX 现有的检索增强生成能力，无需构建独立聊天机器人。