AI Reliability Console

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Evaluation Studio / Eval Type Demo

Cost Analysis / Efficiency Demo

Optimize token and latency cost without violating quality guardrails.

Cost EfficiencyEnterprise demoDummy data

FAQ Assistant inference policy variants, 2.8k rows

Average Cost Per Run
$0.017
Baseline: $0.024
Total Cost of Bench
$31.600
Baseline: $42.800
Total Tokens (Input / Output)
1.55M / 0.83M
Baseline: 2.08M / 1.14M
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.

ce_074 · Information Density

improved

Baseline 0.41 to Candidate 0.78

Prompt compression reduced token usage while keeping relevance.

ce_109 · Format Adherence

regressed

Baseline 0.89 to Candidate 0.83

Aggressive truncation reduced citation completeness.

Enterprise Considerations
Governance expectations for enterprise adoption of this eval type.
Cost runs require business-owner sign-off before policy change rollout.
Spend deltas are tracked per tenant and cost center.
Guardrails prevent cost optimization from bypassing safety metrics.