Multi-Turn Conversations & Agent Threads in Microsoft Agent Framework – Part 5

Master multi-turn conversations with Agent Threads. Learn context management, persistence patterns, and human-in-the-loop workflows.

Read more →

Tools & Function Calling in Microsoft Agent Framework – Part 4

Deep dive into AI agent tools and function calling. Learn MCP integration, external API patterns, error handling, and tool chaining in Microsoft Agent Framework.

Read more →

Building Your First AI Agent with Microsoft Agent Framework (Python) – Part 3

Build a production-ready Research Assistant AI agent using Python. Complete tutorial covering async patterns, @ai_function decorators, multi-turn conversations, and best practices.

Read more →

Observability Practices in AI Engineering: A Complete Guide to LLM Monitoring

Master AI observability with this comprehensive guide. Compare Langfuse, Helicone, LangSmith, and other tools. Learn which metrics matter, how to build evaluation pipelines, and implement production-grade monitoring for LLM applications.

Read more →

Disaster Recovery for AI Systems: Multi-Region Deployment Strategies

Disaster Recovery for AI Systems: Multi-Region Deployment Strategies Expert Guide to Building Resilient AI Systems Across Multiple Regions I’ve designed disaster recovery strategies for AI systems that handle millions of requests per day. When a region goes down, your AI application shouldn’t. Multi-region deployment isn’t just about redundancy—it’s about maintaining service availability, data consistency, and […]

Read more →

Building Your First AI Agent with Microsoft Agent Framework (.NET) – Part 2

Build a production-ready Customer Support AI agent using C# and .NET 8. Complete tutorial covering project setup, tools, multi-turn conversations, middleware, and error handling.

Read more →