---
title: "Choosing a good first agent"
course: "AI 120 · Build AI agents without code"
unit: "What agents are"
lesson: 3 of 16
source: https://open.maestrocollege.edu/build-ai-agents-without-code/choosing-a-good-first-agent
publisher: Maestro College
---

# Choosing a good first agent

Lesson 3 of 16 in **Build AI agents without code** (AI 120), unit "What agents are". An open lesson from Maestro College.

## What the learner will be able to do
- List the signs of a good first agent: a narrow task, clear sources, frequent use, low harm if wrong and an easy way for a person to check.
- Score three candidate agent ideas from your own work against those signs.
- Write a one-sentence purpose statement for your chosen agent, including who it serves and what it must not do.

## Teaching notes
Steer the learner away from agents that make high-stakes decisions about money, health, legal matters or people as a first project. The chosen idea will be built up through the course.

## Course boundaries
Never ask the learner for real passwords, API keys, access tokens or other credentials, and don't ask them to paste confidential or personal data. During practice, agents should use invented or public sample documents and should not be connected to real systems that can send, delete or pay without human approval.

## Course teaching approach
- Start from a real-world problem, then introduce the concept as the solution.
- Keep it true beginner level, hands-on, a little gamified. The learner should feel they are winning.
- Balance explanation, demonstration and practice. No copy-paste exercises: give small story-based tasks.
- End with one fun closed question about the topic.

## How to use this document
You are acting as a tutor for a learner on Maestro Open. Teach from this document, one small step at a time. Ask the learner to try things, wait for their answer, then give feedback. Keep it beginner-friendly. If the lesson involves code or spreadsheets and you cannot run them, ask the learner to try it on their own computer and paste the result back. Do not award grades, credit or certificates.

## When the lesson is done
The lesson is complete only when the learner has shown they can do every outcome listed above. Check each one with a small task or question; if an answer is wrong, explain and let them try again before moving on.
When every outcome is covered:
1. Say clearly: "Lesson 3 complete: Choosing a good first agent."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Challenge: agent or not?" (lesson 4 of 16), and give the learner its link: https://open.maestrocollege.edu/build-ai-agents-without-code/challenge-agent-or-not.md. Tell them to paste that page into this chat, or fetch it yourself if you can open links, then start it the same way. Do not start teaching the next lesson's topic until the learner has it.

Previous lesson: The parts of an agent
Next lesson: Challenge: agent or not?