System and method for high scale autoresponder via large language models

A machine readable and non-transitory medium having information recorded thereon, wherein the information, when read by the machine, causes the machine to perform the following steps:

• signing up a plurality of public figure users for an auto response service that automatically generates personalized auto responses on behalf of each of the plurality public figure users in response to fan communications directed to the public figure users;
• creating general instructions providing guidelines in generating the personalized auto responses;
• and
• with respect to each of the plurality of public figure users,
• obtaining relevant information associated with the public figure user,
• generating, based on the relevant information associated with the public figure user, personalized instructions in creating the personalized responses on behalf of the public figure user,
• receiving an incoming communication from a fan of the public figure user,
• creating a prompt based on the general instructions, the personalized instructions, and information about the incoming communication,
• generating, automatically via large language models (LLMs) based on the prompt, a personalized auto response on behalf of the public figure user responsive to the incoming communication, and
• delivering the automatically generated personalized auto response to the fan as a response to the incoming communication.

A system, comprising:

• a service setup engine implemented by a processor and configured for
• signing up a plurality of public figure users for an auto response service that automatically generates personalized auto responses on behalf of each of the plurality public figure users in response to fan communications directed to the public figure users, and
• obtaining relevant information associated with each of the plurality of public figure users;
• an autoresponder implemented by a processor and configured for
• creating general instructions providing guidelines in generating the personalized auto responses,
• with respect to each of the plurality of public figure users,
• generating, based on the relevant information associated with the public figure user, personalized instructions in creating the personalized responses on behalf of the public figure user,
• receiving an incoming communication from a fan of the public figure user,
• creating a prompt based on the general instructions, the personalized instructions, and information about the incoming communication,
• generating, automatically via large language models (LLMs) based on the prompt, a personalized auto response on behalf of the public figure user responsive to the incoming communication, and
• delivering the automatically generated personalized auto response to the fan as a response to the incoming communication.