What this capability evaluates
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
Run an established evaluation suite against prompt, model, retrieval, workflow, or agent updates and compare the results with a previous quality baseline.
Part of the Nexoqo AI QualityOps platform
Run an established evaluation suite against prompt, model, retrieval, workflow, or agent updates and compare the results with a previous quality baseline.
Apply repeatable quality criteria to the behaviors and signals that matter for this part of the AI workflow.
See which scenarios improved, regressed, or crossed a defined quality threshold before release.
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.
See which scenarios improved, regressed, or crossed a defined quality threshold before release.
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.