Automated Interaction Advisory Using Language and Knowledge Graphs

This workflow facilitates real-time analysis and advice generation for interactions based on a sophisticated reasoning ontology. It starts with a webhook trigger that receives chat messages, which are then processed by multiple nodes: an OpenAI GPT-4 model for initial language comprehension, a reasoning agent for interpretation and strategy, and an interaction dynamics expert for providing tailored advice. The workflow uses Sticky Notes for setup instructions and a memory buffer to preserve context across exchanges. The core goal is to assist users in managing complex interpersonal and situational dynamics by utilizing a knowledge graph ontology for deeper contextual understanding. Practical applications include customer support, negotiation, coaching, or any scenario requiring nuanced communication strategies based on interaction patterns and concepts like escalation, synergy, and metastability.