AI CO-PILOT PLATFORM FOR GENERATING COMPUTATIONAL AWARENESS AND AUTONOMOUS OPERATIONAL GUIDANCE

Abstract

A system and method for enabling autonomous restaurant operations are disclosed. The system is executed by an AI co-pilot server platform comprising a multi-agent AI architecture operating on an Aggregated Domain Intelligence Layer. A Discovery Intelligence Agent interacts with users via a multi-modal interface to generate personalized “Menu Directives.” An Operational Intelligence Agent then orchestrates a suite of specialized, sLLM-powered Task Agents to autonomously generate a complete operational plan. This plan includes a discovered price point, a time-aware schedule, and skill-based execution guidance. The system's intelligence is built and maintained through a continuous train-evaluate-inference loop, employing techniques such as hierarchical fine-tuning of foundational LLMs and Reinforcement Learning from Human Feedback (RLHF). The platform transforms multi-modal culinary content into dynamic, personalized experiences and provides deep audience awareness to creators and restaurants, with content usage metered via a secure attribution system.

CPC Classifications