Negotiation training framework using generative artificial intelligence

A system for using generative artificial intelligence (AI) for training a user for a conversational encounter with a customer, the system comprising:

• a processor;
• an input/output device operably connected to the processor, the input/output device configured to receive user inputs and to display outputs at a user interface;
• and
• computer-readable memory operably connected to the processor, the computer-readable memory encoded with instructions that, when executed by the processor, cause the system to:
• receive, from the user interface, a set of encounter-defining parameters, the encounter-defining parameters being descriptive of attributes of the conversational encounter;
• format the set of encounter-defining parameters into a first large language model input, the first large language model input being suitable for processing by a large language model;
• provide the first large language model input to the large language model;
• receive a first large language model output from the large language model based upon the first large language model input;
• provide the first large language model output to the user via the user interface;
• iteratively converse with the user, via the user interface, for a defined number of iterations, wherein iteratively conversing with the user includes the steps of:
• receiving a user response via the user interface;
• providing the user response to the large language model;
• receiving an additional large language model output from the large language model;
• and
• providing the additional large language model output to the user via the user interface;
• provide an evaluation command to the large language model after the defined number of iterations is reached;
• receive a final evaluation from the large language model, the final evaluation being indicative of an evaluated outcome of the conversational encounter;
• and
• display the final evaluation to the user via the user interface.