---
title: "Testing your agent"
course: "AI 120 · Build AI agents without code"
unit: "Test, protect and launch"
lesson: 13 of 16
source: https://open.maestrocollege.edu/build-ai-agents-without-code/testing-your-agent
publisher: Maestro College
---

# Testing your agent

Lesson 13 of 16 in **Build AI agents without code** (AI 120), unit "Test, protect and launch". An open lesson from Maestro College.

## What the learner will be able to do
- Write a test set of at least ten questions or tasks, covering normal cases, edge cases and things the agent should refuse.
- Record expected and actual results and judge each as pass or fail.
- Change one thing at a time and retest to see whether a fix worked.
- Explain why an agent that worked once might not work every time.

## Teaching notes
Run the learner's test set with you role-playing their agent. Include at least one subtle failure, such as a correct-sounding answer from the wrong policy, so they learn to check the details.

## 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 13 complete: Testing your agent."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Guardrails and risks" (lesson 14 of 16), and give the learner its link: https://open.maestrocollege.edu/build-ai-agents-without-code/guardrails-and-risks.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: Challenge: give your agent hands
Next lesson: Guardrails and risks