Bridging the gap between Agentic AI theory and Hands-on Labs

Rohan Ghosh
* The gap between theory and practice in Agentic AI is massive. Here’s how we fix the friction of learning by doing. * If you’ve been following the AI space recently, you know the feeling. Every week, there’s a new paradigm-shifting whitepaper on Agentic AI. ReAct, Plan-and-Solve, Multi-Agent Orchestration, Model Context Protocol (MCP) — the sheer volume of theory is staggering. For a while, I tried to keep up. I read the papers. I read the dense Twitter threads. I digested the conceptual archit