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🚀 Welcome to Episode 2 of How Microsoft Engineers Build AI!
In this episode, go behind the scenes with Microsoft engineers as they dive into how agents are built, evaluated, and deployed — with a practical demo straight from engineering.
💡 Learn how Microsoft thinks about agent architecture, real-world challenges in permissioning and control, shaping agent behavior, handling uncertainty, and evaluation best practices. Whether you’re an AI developer, data scientist, or tech enthusiast, this is your front-row seat to how cutting-edge AI systems are engineered at scale.
👇 Chapters
00:00 – Introduction
00:37 – Speaker introduction
01:01 – What did you create? What problem did you solve?
02:04 – Demo
04:11 – Why do we need agents?
06:57 – Where does it fit into the picture? What challenges tend to come up?
13:31 – What about permissioning and control? How do you balance flexibility with security?
16:20 – How do you shape Agent behavior?
21:44 – Uncertainty Threshhold Check: Epistemic uncertainty, aleatoric uncertainty, human fallback, and autonomous action
25:15 – Post-Deployment Feedback Loop
26:54 – What are some evaluation best practices?
✔️Get Started: AI for Developer Hub: https://aka.ms/AIforDeveloper
📌 Let’s connect:
Emmanuel Barajas Gonzales www.linkedin.com/in/adityachallapally/
Aditya Challapally | https://www.linkedin.com/in/vanfalen/
Frank Boucher | https://www.linkedin.com/in/fboucheros/ Read More Microsoft Developer
