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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score47

Thorsten-4 adds customer-intent analysis to existing AI agentsMachine translation

AI introduction

Thorsten-4 analyzes existing conversations, including call transcripts, emails and chats, and scores 50 behavioral and psychological traits, including motive and decision style. It then advises an existing model or agent when to push, pause or adapt, connecting through the millionways Platform, an API, MCP or a self-hosted setup. millionways says GPT paired with Thorsten-4 outperformed GPT alone at reading customer intent in completed enterprise pilots.

Original post · AI translation

@rohanpaul_ai
Translation · refer to the original

🧵6/n。你可以在他们的技术博客页面了解更多有关这一概念的内容。

https://t.co/lahqTGAnAv https://t.co/TLAOzlp9Mh

ReplyRohan Paul@rohanpaul_ai
Translation
🧵5/n 你现有的模型继续撰写回复。Thorsten-4 向它提供对相关人员动机和决策风格的解读,智能体据此决定何时推进、何时暂停。 它可通过 millionways Platform、API、MCP 或自行托管的部署方式接入。现有技术栈中的任何部分都无需替换。 这种组合已经取得了成果。millionways 称,在已完成的企业试点中,搭配 Thorsten-4 的 GPT 在识别客户意图方面优于单独使用的 GPT。
Original

🧵5/n Your existing model keeps writing the replies. Thorsten-4 passes it a read on the person’s motives and decision style, and the agent uses that to decide when to push and when to pause. It connects through the millionways Platform, an API, MCP or a self-hosted setup. Nothing in the current stack gets replaced. The pairing already has a result behind it. millionways says that in completed enterprise pilots, GPT paired with Thorsten-4 beat GPT alone at reading customer intent.

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Related contextRohan Paul@rohanpaul_ai
Translation
🧵4/n 你将已有的对话提供给 Thorsten-4,例如通话记录、访谈、电子邮件和聊天记录。 它根据 50 项行为和心理特征为每个人评分,例如动机、决策风格和压力反应。 它将这些分数转化为对信任程度、买家购买意愿或事态升级风险等方面的判断,并提出可追溯至证据的行动建议。 你可以通过 millionways Platform、API、MCP 或自行托管的部署方式,将它接入当前的模型或智能体。 你的模型继续撰写回复,而 Thorsten-4 的判断会告诉它何时推进、暂停或调整方式。
Original

🧵4/n You feed Thorsten-4 the conversations you already have, like call transcripts, interviews, emails and chats. It scores each person on 50 behavioral and psychological traits, such as motive, decision style and stress response. It turns those scores into reads like trust, buyer readiness or escalation risk, with recommended actions traced back to the evidence. You plug it into your current model or agent through the millionways Platform, an API, MCP or a self-hosted setup. Your model keeps writing the replies, and Thorsten-4’s read tells it when to push, pause or adapt.

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Source: Rohan Paul · x.com

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