How do you assess the output quality of two versions of an agent?

Comprehensive and Detailed Explanation:

To objectively measure and compare the output quality of two agent versions, Oracle Fusion AI Agent Studio provides evaluation tools that run both versions against the same test inputs and reference outputs. This process, called evaluation testing, reveals differences in correctness, reliability, and performance.

From Oracle’s documentation:

“By executing standardized evaluation sets across different agent versions, users can pinpoint improvements or regressions in agent logic, ensuring each update delivers quantifiable quality gains.”

(Reference: Oracle AI Agent Studio Evaluation Guide, 2024, p. 19)

Token counts reflect cost, not quality. Changing prompts mid-operation is not a valid assessment approach.

Practical takeaway:Always use evaluation sets for scientific, reproducible agent quality assessment.