Your Chatbot Isn't an Agent. Here's the Difference That Matters.

Everyone's building "AI agents" right now. Most of them are chatbots with a to-do list. The real thing an agent that plans, uses tools, remembers context, and executes multi-step work without falling apart, is a different piece of engineering entirely. This session breaks down exactly where that line is, and how to build on the right side of it.
Join Sandeep Bhalekar, Founder of the Global Institute of Artificial Intelligence and co-author of The Blueprint for AI Adoption and Societal Transformation (Routledge, 2026), for a fast, hands-on session — no slides full of buzzwords, just how this actually works.

#### What you'll learn

✅ Agent vs. Chatbot — the real architectural difference: planning, memory, and autonomous tool-use vs. a scripted response loop
✅ The Modern Agent Stack — where LangGraph, CrewAI, and AutoGen each actually earn their place in a working system
✅ Agentic RAG — how agents ground their actions in real data instead of hallucinating their next step
✅ AgentOps & Reliability — how to trace and evaluate agents so they don't fail silently once they're live
✅ Multi-Agent Systems — how specialized agents collaborate on a task instead of one agent trying to do everything
✅ Guardrails That Work — human-in-the-loop checkpoints that keep "autonomous" from meaning "unsupervised"

#### Who this is for

Developers, data/ML professionals, product folks, and technical founders who are past the "what is an AI agent" stage and want to understand how one is actually built — and where it breaks

#### Format

60 minutes, live a walkthrough of real agent architecture followed by open Q&A. Come with questions; this is built as a working session, not a webcast.