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Series
In this series, I will be explaining AI in a structured, step-by-step manner, helping readers "decode" complex topics.
Introduction In my earlier blogpost, we built a Coordinator/Dispatcher Agent that routes tasks to specialized workers. We also read about how agent patterns mirror microservice patterns—API Gateways, Sagas, and Domain-Driven Design. But there's one c...
Introduction You've built an AI agent. It can answer questions, call tools, and even make decisions autonomously. It feels like magic. But then a question keeps you up at night: What is it actually doing when I'm not looking? Unlike a traditional mic...
Large Language Models (LLMs) such as ChatGPT, Claude and Gemini have moved quickly from research labs into everyday use. They write emails, summarize documents, and hold conversations well enough that many people treat them as if they “understand” wh...
Introduction Although AI agent systems are often presented as something entirely new, many of their architectural patterns will feel familiar to anyone who has worked with microservices. In practice, most agent patterns can be mapped quite naturally ...
If you’ve been following the excitement around AI agents, you’ve probably noticed that most tutorials still scatter essential steps across several tools, repos, and half-finished guides. When I started down this path, I kept wondering: why isn’t ther...
If you've been watching the AI space from the sidelines and thinking, “This all looks interesting, but where does a C# developer even begin?”, you’re not alone. Most of us started there.AI agents seem complicated until you actually build one — and th...