Agent Quality Infrastructure

Know when your
agents regress

ProbeStack measures AI agent quality across entire workflows. Not just individual LLM calls. Full end-to-end baseline comparison with cohort-level regression detection.

What gets measured

Every agent run scored across dimensions that matter for production reliability.

Completeness
94%
Did the agent finish all required steps in the workflow?
Correctness
97%
Were outputs accurate, well-formed, and error-free?
Consistency
91%
Same input, same quality. Cross-run stability score.

How it works

01

Define your baseline

Set up cohort runs that establish what "good" looks like for your agent workflows.

02

Run probes continuously

Automated quality runs execute your agent against known scenarios on a schedule you control.

03

Detect regressions instantly

When quality drops below baseline, you know immediately. No more discovering degradation from user complaints.

04

Compare across cohorts

A/B test agent versions, model swaps, or prompt changes with statistical confidence.

$ probestack run --cohort baseline-005
Onboarding flow: 96/100 (baseline: 94)
Task execution: 98/100 (baseline: 95)
Email generation: 71/100 (baseline: 89) REGRESSION
Landing page: 93/100 (baseline: 91)
 
1 regression detected. Report saved.

Agents that ship without quality gates are liabilities

ProbeStack turns agent quality from a guess into a measurement. Continuous, automated, baseline-aware.