Free module
Evaluating agents
Learn evaluating AI agents hands on: score their steps, check the state they leave, compare runs fairly, test dialogues and gate a change.
The lessons
Each lesson is free to read in full. Create a free account to run its commands in a live lab and to sit its quizzes and tasks.
1 · Container lab
How to evaluate an AI agent trajectory
I can score the steps an agent took against a reference path.
Read the lesson2 · Container lab
How to check what an AI agent changed
I can check what a run changed instead of what it said.
Read the lesson3 · Container lab
Is my new AI agent really better?
I can say whether one agent is better than another when each run differs.
Read the lesson4 · Container lab
How to test a chatbot with simulated users
I can test a dialogue with a scripted user and score the conversation.
Read the lesson5 · Container lab
How to build eval cases from production traces
I can turn a failure in use into a case without keeping what should not be kept.
Read the lesson6 · Container lab
How to build an AI agent eval suite
I can put trajectory, state and repeated runs into one gate.
Read the lesson
Worked in a real lab
Every lesson of this module is worked in a lab started for you alone. The labs it uses:
Teaching a class? Set this module for your students with a teacher guide, marked assignments and a lab for every student.