NCP-AAI Web TestEngine demo

Assess performance data from recently improved agents and highlight strong results, using outcome

comparisons to identify areas with the greatest impact on service quality.

Average performance metrics across all agents as this will smooth individual variations, query

distribution differences, and temporal factors affecting agent behavior and accuracy.

Deploy stratified evaluation sampling across agent variants, query complexity levels, and temporal

patterns while tracking decision paths using comparative analytics.

Review performance across both high-and low-accuracy agent groups, comparing case outcomes and

identifying patterns contributing to top and bottom results.