This session demonstrates how to build a GPT-based negotiation coach and use it to train real conversations.

The demo starts from a simple input: a conversation that is avoided and a piece of feedback that has not been delivered. These are translated into a structured negotiation scenario with defined roles, constraints, and decision ownership.

The session shows how AI can simulate counterpart responses, test different approaches, and expose how framing, timing, and trade-offs shape outcomes. Instead of rehearsing scripts, the focus is on navigating constraints and redesigning options in real time.

AI is positioned as a controlled environment where negotiation can be practiced, adjusted, and strengthened before it happens in live systems.

The result is a working method for training negotiations, not just preparing for them.