Your First AI Agent

What you will learn

• Tell the difference between a chatbot, a script, and an agent that earns its keep
• Spot the judgment-heavy tasks in your working week that an agent can own
• Design your first agent on paper and give it an always-on home
• Connect it to real accounts safely and grow one agent into a small fleet your colleagues notice

The lessons

1. 1Agents vs chatbots: the difference you can put to work5 minYou have almost certainly used an AI chatbot. An AI agent is the next step: instead of waiting for your next message, it goes and does the work. This lesson makes the difference concrete.
2. 2The jobs worth handing to your first agent6 minThe best way to understand agents is to see the work they take off your plate. Here are the jobs professionals hand to their first agent, why each fits, and the test that separates agent work from script work.
3. 3The four parts of an agent, and which lever to pull6 minYou do not need to build one to use one well, but a simple mental model of what is happening inside makes you far better at directing an agent. Here is that model.
4. 4Always-on: why your agent needs a home5 minThis is the lesson most beginners skip, and it is the one that decides whether your agent is a toy or a tool. An agent that is not running is just an idea.
5. 5Design your first agent (no code)6 minTime to make it real. You can design a genuinely useful agent in fifteen minutes with nothing but plain writing. Here is the recipe.
6. 6Connect your agent to the world, safely6 minAn agent becomes genuinely useful when it can reach the outside world. That same reach is where things can go wrong, so this lesson is about doing it with the brakes installed.
7. 7From one agent to a fleet, a team rollout, or a paid service7 minOnce one agent reliably does its job, three doors open. You can add a second agent to your own operation, bring agents to your team, or deliver the same reliability to someone who will pay for it. This lesson covers all three.

Frequently asked questions