## Introduction to the Agentic Web

The **Agentic Web** represents a paradigm shift in internet architecture, where autonomous AI agents become first-class actors on the Web. Unlike the traditional Web — which connected users to static content or apps — the Agentic Web is a **distributed, interactive ecosystem** of goal-driven software agents that act on behalf of users. In this new era, a user’s query is no longer a simple information request, but rather a delegation of a complex task to an **AI agent** or team of agents. These agents can **plan workflows, coordinate with other agents, and execute actions** across various services to fulfill high-level user intents. The end user (the human) remains in charge, but much of the heavy lifting is done through machine-to-machine interactions on the user’s behalf.

To put it simply, the Agentic Web is about moving from manual, human-driven web interactions to **autonomous, agent-driven operations**. Instead of clicking links and navigating apps step by step, a user can instruct an AI agent with a goal (e.g. “find and book a budget flight for next weekend”) and the agent will handle the entire process – discovering information, calling APIs or websites, possibly negotiating with other agents, and finally delivering the result. This promises a more **personalized, proactive, and automated web experience** for users, and opens up new possibilities for developers to create intelligent services.

In this tutorial, we will delve into the Agentic Web with a focus on educational applications. We will cover its evolution and foundations, the key protocols (like MCP and A2A) that enable agents to work together, example use cases in education (such as AI tutoring and curriculum generation), tools and platforms you can experiment with, and best practices for evaluating such agent-based systems. This guide assumes you’re a developer new to the Agentic Web concept, so we’ll start from first principles and build up to practical considerations.