Human QA vs. AI QA
What actually changes when you move from human graders to AI, and what you need to get right before you do.
Overview
Human QA vs. AI QA
Most of the scorecard survives. The instructions do not.
The short version
Your scorecard categories, weights, and thresholds can stay exactly the same. The part that has to change is how you write the instructions inside each scoring field. A human grader brings years of training to the table. AI brings nothing except what you put in the prompt.
- •Your scorecard categories
- •How the weights are distributed
- •The total score scale
- •Your pass/fail threshold numbers
- •How each field is defined
- •Scoring rules (no more "use judgment")
- •Deduction examples
- •How edge cases are handled
The thing most people miss
AI does not calibrate. It does not learn from past sessions. It does not ask a colleague when something is ambiguous. It reads what you wrote and applies it literally. Your scorecard instructions are the only training it will ever get.
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