The problem
An AI scores business opportunities across seven dimensions. You need to inspect the source material and explanation behind each score to check whether it applied the rubric correctly.
You can compare the numbers, but you cannot tell whether the AI understood the same standard as your team. A second AI can agree while making the same mistake.
How Nibuno would handle it
The proposed workflow gives each scoring prompt a visible rubric and a set of examples ruled on by qualified people. The evaluator is checked against those decisions, with disagreements exposed by dimension.
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Product preview — Nibuno is currently in development. Examples use illustrative data.
What you’d compare
Review agreement, critical errors, ambiguous cases, and the types of input the evaluator has actually seen. A judge that is reliable on one dimension does not automatically earn authority over the other six.