What Are AI Agents?

From Chatbots to Agents: What Changed

When this course first launched in September 2025, AI tools like ChatGPT, Gemini, and Claude were impressive but fundamentally reactive. You typed a question, and the AI answered. You asked it to write something, and it wrote it. Every conversation started fresh, and the AI could only work with what you gave it in that moment.

In the past six months, something significant has changed. AI has evolved from chatbots into agents.

What Is an AI Agent?

An AI agent is an AI system that can:

• Take multi-step actions to accomplish a goal, not just answer a single question
• Remember context across conversations and sessions
• Access your files and documents to work with your actual materials
• Make decisions about how to approach a task, not just follow rigid instructions
• Use tools like web search, file editing, and code execution

Think of it this way: a chatbot is like texting a knowledgeable friend. An AI agent is like having a teaching assistant who knows your curriculum, remembers what you discussed last week, and can actually go do things for you.

Why This Matters for Educators

For teachers, this shift means AI can now:

• Know your curriculum standards without you re-uploading them every time
• Remember your students’ needs across conversations
• Create materials based on your actual lesson plans, not generic templates
• Work across multiple tasks in a single session (write a lesson plan, then create the assessment, then draft the parent letter)

The AI Landscape in Mid-2026

Here’s where the major AI platforms stand today:

All three major platforms now offer project/workspace features that let you create persistent, context-aware AI assistants. We’ll explore each one in the topics that follow.