Agentic AI in Action, Building a Planner with LangChain and LangGraph

#autonomous-systems #learning #planning #management #agents

This presentation provides a practical, hands-on introduction to Agentic AI and Multi-Context Prompting (MCP), demonstrating how these emerging techniques can be applied to build intelligent, autonomous systems for real-world use cases. We explore the foundational concepts of Agentic AI—including multi-agent architectures, specialized agent roles, orchestration through LangChain and LangGraph, and advanced prompting strategies that enhance reasoning and coordination. Through a live demonstration of an AI-powered Financial Planner, we showcase how multiple domain-specific agents collaborate to deliver comprehensive financial guidance covering wealth management, education planning, tax optimization, retirement strategy, and estate planning.