Build Smarter AI Systems: 3 Agent Patterns You Can Implement Today
This video walks through the three primary types of Agentic AI patterns—Chat Agents, Workflow Agents, and Autonomous Agents—and demonstrates how to implement each one. You'll learn about the differences between AI agents and chatbots, how reasoning models and tools interact in agentic systems, and when to use each pattern for solving real-world problems, along with practical code examples ranging from simple chat assistants to complex multi-step workflows.
Description
In this video, we break down the three types of Agentic AI patterns—Chat Agents, Workflow Agents, and Autonomous Agents—and show you how to implement each one.
You’ll learn:
🔹 What an AI Agent is and how it differs from a chatbot
🔹 How reasoning (LLMs) and tools work together in agentic systems
🔹 When to use each agent pattern for real-world problems
🔹 Practical code examples for each pattern: from simple chat assistants to multi-step workflows and autonomous orchestrators.
Whether you’re a developer, solution architect, or AI strategist, this video gives you a clear mental model for designing and implementing agentic systems that think, plan, and act.
💡 Chapters:
00:00 - What Is an AI Agent?
01:11 - Agentic Patterns
02:30 – Chat Agents
03:49 – Workflow Agents
06:05 – Autonomous Agents
09:20 – Summary
Resources Mentioned:
Azure AI Foundry Agent Framework
https://github.com/microsoft/agent-framework/tree/main
Example source code on GitHub
https://github.com/robkerr/robkerrai-demo-code/tree/main/ai-foundry-agents
#AgenticAI #AzureAI #AutonomousAgents #AIEngineering #LLM #AIFramework