Find the fake data trap
Detect when fake or overly neat data is weakening an AI prototype test.
The demo looks clean. The test data is hiding the risk. Find the thing that will make the prototype test misleading. The prototype table filled with short, tidy placeholder records Correct: tidy fake data hides layout, state, and comprehension risks. Realistic sample records are part of the prompt. The messy real-like sample records on the desk Not the issue. Those records are exactly what should be included in the next prompt. The tester waiting to try the flow The tester is valuable, but the test will be weak if the prototype data stays too neat. The keyboard in front of…
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