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Go to pathway stages
1

Build your AI stack knowledge

Get a clear, working picture of how modern AI products are assembled — without becoming an AI engineer.
2

Define how you'll measure AI quality

AI quality isn't like normal software quality. Establish what good looks like before you test.
3

Define your evaluation criteria

Write down what 'good' looks like for your copilot's outputs — before you start testing.
4

Define your prototype spec

A good spec isn't about perfection. It's about giving the build a clear target.
5

Test outputs

Testing AI isn't like testing software. The criteria are different.