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

🧵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.

🧵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.