Ready to add AI superpowers to your .NET MAUI applications? In this action-packed session, we'll dive into integrating OpenAI's powerful APIs into your cross-platform apps, turning them from simple mobile applications into intelligent assistants that can understand, analyze, and generate content for your users.

Just like athletes need a playbook to excel in their sport, developers need a solid strategy for AI integration. We'll cover:

- Building a robust architecture for AI integration in MAUI apps that maintains performance and responsiveness
- Implementing effective prompt management systems to ensure consistent and reliable AI responses
- Handling API authentication, rate limiting, and error scenarios gracefully
- Creating a maintainable prompt library that can evolve with your application
- Implementing streaming responses for real-time AI interactions
- Optimizing token usage and managing costs effectively

Through live coding demonstrations and real-world examples, you'll learn how to implement these features while avoiding common pitfalls. You'll walk away with practical knowledge you can immediately apply to your own projects.

Target Audience:
- .NET developers interested in AI integration
- Mobile developers looking to enhance their apps with AI capabilities
- Software architects planning AI-powered mobile solutions

Prerequisites:
- Basic familiarity with .NET MAUI
- Understanding of C# and async programming
- No prior AI experience required

What Attendees Will Learn:
- Best practices for integrating OpenAI APIs in mobile apps
- Techniques for managing and versioning prompts effectively
- Strategies for building responsive AI-powered features
- Real-world patterns for error handling and failover
- Cost optimization strategies for AI API usage