What this capability evaluates
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
Test autonomous and semi-autonomous agents against realistic task scenarios, evaluating both the final result and the sequence of actions used to reach it.
Part of the Nexoqo AI QualityOps platform
Test autonomous and semi-autonomous agents against realistic task scenarios, evaluating both the final result and the sequence of actions used to reach it.
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
Understand whether an agent's path is valid, efficient, compliant, safe, and complete.
Use criteria that reflect the complete AI workflow and the quality requirements of the product.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Include this signal in a repeatable evaluation and compare it across AI-system changes.
Understand whether an agent's path is valid, efficient, compliant, safe, and complete.
Connect test results with regression analysis, production monitoring, and defined quality thresholds as the AI system evolves.
See how it worksConnect this workflow with the other layers of continuous AI evaluation.
Discuss how continuous evaluation can fit the AI systems and quality criteria your team is building.