Context-aware, domain-specific ai system implemented in a location-based peer-to-peer communication platform

A system comprising:

• one or more computing processors;
• and
• a machine-readable storage medium storing instructions that, when executed by the one or more processors, cause the system to:
• receive a first request from a communication platform, wherein the first request comprises a specific-user-content-based request, and wherein the specific-user-content-based request is indirectly generated by the user;
• initiate a classification process of the first request that generates an action attribute for the specific-user-content-based request;
• initiate an extraction process of the first request that generates a parameter attribute for the action attribute of the specific-user-content-based request;
• initiate a plurality of parameter functions based on the parameter attribute that generate at least one or more outputs;
• and
• generate, using a large language model (LLM) or other machine learning model, a response to the first request using the action attribute generated by the classification process, the parameter attribute generated by the extraction process, and the one or more outputs generated by the plurality of parameter functions;
• wherein the outputs generated by the plurality of parameter functions comprise at least a sentiment classification, a semantically similar content, and a dynamically constructed prompt.