From chatbot to agent — your first task agent.
Most people use AI like a vending machine: ask, get an answer, paste it somewhere. An agent works differently — you hand it a goal and it does the steps for you. This lesson shows what actually makes something an agent, which tasks to delegate first, and how to set one up for a real job.
The mental model
A chatbot answers. An agent acts. The shift is from "ask and copy" to "delegate and review."
When you chat with AI, you ask a question and paste the answer somewhere yourself. An agent flips that: you give it a goal, it makes a plan, takes the steps, and hands you a finished result. You stop doing each step and become the one checking the work.
Step 01 · Chatbot use, or agent task?
Four things separate an agent from a chat: it's given a goal (not just a question), works in multiple steps, can use tools/info along the way, and returns a finished result, then stops. Tap each one — is it a job for an agent, or just a chat?
Step 02 · Write your agent brief
Pick one repetitive, multi-step task that's low-risk to get slightly wrong, then write it like a brief for an assistant. Pick one option per row and watch the setup prompt assemble:
Step 03 · Make the first one easy to trust
Your first agent should be narrow and safe. Good first tasks are:
- Clear done condition — you'll know instantly if it worked.
- Low risk — a mistake costs minutes, not money.
- Repetitive — worth automating because you do it often.
- Read-mostly — gathering and summarizing, not sending or deleting.
Your challenge: delegate one real task
- Write the agent brief (goal, steps, done, constraints).
- Have the agent show its plan before it acts.
- Let it run, then review the finished result.
- Note where it wandered — that's what you'll tighten next time.
Lesson complete
You can tell a chatbot from an agent, recognize the four traits of an agent task, write an agent brief, set one up that plans-acts-reports, and keep a human in the loop.
Lesson 2 · Give your agent tools — connect apps & multi-step work