Lightfld 提出"商业世界模型"概念,将客户所言、公司承诺与后续结果连接成智能体可推理的图景。其做法是把客户对话转化为持续更新的关联记录,构建可配置的业务对象与关系图。这有望帮助 AI 智能体追踪交易恶化原因,并基于同一历史评估哪种回应最可能有效。
This is an interesting concept: a "business world model"
The idea is to connect what customers said, what the company promised, and what happened next into a picture an agent can reason over.
@lightfld describes a configurable graph of business objects and relationships, fed by captured customer interactions.
An email from someone last year and an email from the same person today may concern completely different accounts.
The starting point is to turn customer conversations into connected records that keep changing as new evidence arrives.
That could help an AI agent follow why a deal is deteriorating and use the same history to assess which response is most likely to help.
来源:@rohanpaul_ai · x.com