Introduction to AI Agents
What AI agents are, how they differ from chatbots, and why they matter.
From Chatbots to Agents
A chatbot responds to your messages. An AI agent takes actions autonomously.
The key difference:
- Chatbot: You ask → It responds → You act on the response
- Agent: You set a goal → It plans steps → It executes actions → It verifies results
Examples of AI agents:
- An agent that monitors your email, drafts responses, schedules meetings, and updates your CRM
- A coding agent that reads a bug report, finds the relevant code, writes a fix, tests it, and submits a pull request
- A research agent that searches multiple sources, synthesizes findings, fact-checks claims, and produces a report
How Agents Work
AI agents combine three capabilities:
1. Planning — Breaking a goal into steps. The AI decides what to do first, second, third.
2. Tool Use — Calling external tools: web search, code execution, API calls, file operations, database queries.
3. Memory — Remembering context across steps. What it found in step 1 informs step 3.
The agent runs in a loop: Plan → Act → Observe → Plan → Act → Observe... until the goal is achieved or it determines it can't proceed.
Try Claude's or ChatGPT's built-in agent-like features: upload a complex document and ask for a multi-step analysis. Notice how the AI plans its approach, executes steps, and synthesizes results.
- ✓Agents take autonomous actions, chatbots only respond to messages
- ✓Agents combine planning, tool use, and memory
- ✓The agent loop: Plan → Act → Observe → Repeat
- ✓Agents are the next evolution of AI — from assistants to autonomous workers