Learn how to build, understand, and apply Agentic AI — autonomous systems that plan, reason, and act across tasks. Step-by-step tutorials, use cases, and best practices for the next generation of AI.
📘 Introduction In the rapidly evolving world of artificial intelligence, interoperability is emerging as a critical challenge. With multiple agents, tools, memory systems, and models working in tandem, the need for a universal “plug-and-play” protocol is greater than ever. Enter the Model Context Protocol (MCP) — a new standard designed to unify...
📘 Introduction Connecting Claude Desktop with Atlassian Confluence streamlines your workflow by enabling Claude to retrieve, summarize, and publish content directly to Confluence pages. Thanks to the Model Context Protocol (MCP), this integration is seamless. In this tutorial, we’ll show you how to set it up using Atlassian’s remote...
📘 Introduction Prompt engineering has become a foundational skill in the age of generative AI. As large language models (LLMs) like GPT-4, Claude, and others power a new wave of intelligent applications, the way we communicate with these models matters more than ever. But what exactly is prompt engineering? Why is...
📘 Introduction Artificial Intelligence is undergoing a significant shift. For years, generative models have captured headlines — from creating text to generating images. But a new wave is emerging: Agentic AI. So, how does Agentic AI differ from Generative AI? Are they competing paradigms — or complementary forces in the AI ecosystem? In...
📘 Introduction Artificial Intelligence is evolving rapidly. From rule-based systems to generative models, we are now entering a new frontier: Agentic AI. But what exactly is Agentic AI? How does it differ from traditional AI systems, and what opportunities or risks does it bring? In this post, we'll explore...