AI Reliability Console

Monitor behavior, manage risk, and ship confidently

Evaluation Studio / Eval Type Demo

Quality Diagnosis / Profiling Demo

Locate failure clusters and root-cause patterns by metric and segment.

Quality DiagnosisEnterprise demoDummy data

Concierge Agent, 15 intent clusters, 3.6k evaluated rows

Overall Score
86
Baseline: 78
Pass Rate
92.4%
Baseline: 88.2%
Judge Agreement
89%
Baseline: 81%
Baseline vs Candidate Trend
Dummy trend data for this eval intent.
Evaluator Score Split
LLM, human, and reviewer scoring spread across derived metrics.
Sample Findings
Representative row-level dummy findings for this eval type.

qd_087 · Helpfulness

improved

Baseline 0.58 to Candidate 0.86

Candidate resolves multi-intent request in one turn.

qd_143 · Information Density

regressed

Baseline 0.74 to Candidate 0.72

Response includes repetitive details that reduce clarity in booking cancel flow.

Enterprise Considerations
Governance expectations for enterprise adoption of this eval type.
Diagnosis exports include anonymized row context only.
Reviewer assignment must exclude original prompt author.
Vendor participation optional for low-severity clusters.