Writing
Verified, Not Trusted: Designing Evals for AI Applications
Evals measure AI application behavior at the system boundary using deterministic graders and explicit rubrics. Results identify the model, effort and pass rates.
Topic
Grading Rubrics
Written criteria that tell a human reviewer or model judge how to assess a requirement. Reference facts, pass and fail conditions, and accepted alternatives bound the judgment and make its basis inspectable.
2 pages
Writing
Verified, Not Trusted: Expense Analysis, Part Four
Evals measure reliability with reference keys, code graders, model judges and pass-rate gates. Expense examples show what to check and how structured output expands coverage.