Section 062 · Chapter 9, Generated Code Changes the Job
The New AI Quality Skillset
The future AI builder is a rubric designer, sampling strategist, AI judge operator, risk analyst, and statistical storyteller.
confidence intervalLLM judgerubricquality skillset
What to do
- Define runnable checks that exercise confidence interval, LLM judge, and rubric.
- Set acceptable outcomes and blocker failures for confidence interval, LLM judge, and rubric before running the evaluation.
- Run representative cases for confidence interval, LLM judge, and rubric and preserve the failures that would change the decision.
Evidence to preserve
- Preserve the inputs, versions, configurations, raw outcomes, and results for confidence interval, LLM judge, rubric, quality skillset needed to reproduce work on The New AI Quality Skillset.
- Report results for confidence interval, LLM judge, rubric, quality skillset by relevant slice, separate blocker failures from averages, state uncertainty and blind spots, and connect the result to a release decision.
Expert note
The strongest AI builders become evaluation architects. They design systems that continuously measure quality, generate useful failure evidence, improve test assets from production learning, and make uncertainty understandable to non-statisticians.
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Cite this page
Jason Arbon. "The New AI Quality Skillset." Testing AI Knowledge Edition, section 62.
https://jarbon.ai/testing-ai/knowledge/ch062-quality-skillset.html