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AI evaluations: testing outputs

An AI tool gives you a perfect answer once, and that's nice, but now run it on a messy request, an odd case, and the kind of input that usually breaks things. One good run only proves the tool can work once.

By the end of this lesson

  • You can write a test first, watch it fail, then build until it passes.
  • You can build a test set from real messages an agent has to handle.
  • You know why letting a model grade its own answer is a weak check.
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