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All About AI Foundry Agents | Made for Dev Ep. 6

Global AI Community16 June 2026Watch on YouTube

Part of series

Ep. 4 · Foundry Agent Azure

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Description

In this episode of "Made for Dev," we dive deep into the world of AI Agents within Azure AI Foundry. Join your host and special guest Sam Nasser—8-time Microsoft MVP and Senior Software Engineer—as he explains why agents are the "new microservices" and demonstrates how to build, configure, and orchestrate them using natural language. What you’ll learn in this video: • What is an AI Agent? Understand the shift from LLMs that just answer questions to agents that execute business tasks [01:30]. • The "Physician" Analogy: Why an LLM is like a doctor who knows the theory but needs "tools" to actually take your blood pressure [02:05]. • Step-by-Step Demo: Watch Sam build a weather-forecasting agent from scratch in Azure AI Foundry, including tool integration via Logic Apps [04:54]. • Evaluation & Quality: How to interpret "Task Adherence" and "Intent Resolution" scores to ensure your agent is performing accurately [10:34]. • Advanced Orchestration: An overview of patterns like Hierarchical and Network orchestration for connecting multiple agents [16:55]. Whether you're a seasoned developer or just starting with Generative AI, this session provides a practical roadmap for moving beyond simple chatbots to functional AI-driven microser #AzureAIFoundry #AIAgents #GenerativeAI #SoftwareDevelopment #MicrosoftMVP #MadeForDev #Microservices #globalaicommunity

What you'll learn

  • AI agents in Azure AI Foundry execute business tasks rather than just answering questions, operating as 'new microservices'.
  • An LLM functions like a doctor who knows theory but needs tools to actually perform actions.
  • You build agents step-by-step in Azure AI Foundry with tool integration via Logic Apps, for example for weather forecasting.
  • Task Adherence and Intent Resolution scores help you assess whether your agent works correctly and executes tasks accurately.
  • Hierarchical and Network orchestration patterns connect multiple agents for more complex workflows.

Frequently asked questions

What is the difference between an LLM and an AI agent?
An LLM answers questions based on knowledge, while an AI agent executes actions using tools. Sam compares this to the difference between a doctor who knows theory and a doctor who actually performs examinations.
How do you build an agent in Azure AI Foundry?
You build agents step-by-step in Azure AI Foundry and integrate tools via Logic Apps. The video demonstrates this with a practical weather-forecasting agent example.
Which scores determine if your agent is performing well?
Task Adherence and Intent Resolution scores measure your agent's performance. Task Adherence shows if the agent executes tasks correctly, Intent Resolution whether it understands what you ask.
What are orchestration patterns for agents?
Hierarchical and Network orchestration patterns connect multiple agents together. This lets you set up more complex workflows where agents work together.

Topics

ai agentsazure ai foundrygenerative aideveloper tutorialtool integration