This session pulls the curtain back on what AI really does when you give it a task: how it succeeds, why it fails, and what you can do to control it. Through three multimodal use cases, we’ll compare naive prompts with refined workflows so you can see the difference structure makes.

You’ll learn:

• How to design tasks that avoid hallucinations
• How to combine modalities to increase accuracy
• How to turn unpredictable models into dependable features inside your .NET apps.

Real demos, real mistakes, real fixes.