AI Stability & Drift Testing
Agents can look great in a demo — then get weird after real usage, new data, model updates, or prompt changes. We measure consistency over time, detect behavior drift, and validate reliability across real scenarios.
Test My Agent→Who This Is For
Agents in Production
Your agent is live and you need to know if it’s staying consistent as users, prompts, and models change.
Teams Shipping Frequent Updates
New prompts, new tools, new flows — we catch regressions before users do.
Businesses That Can’t Afford Random Behavior
If your agent supports customers, sells products, or touches sensitive workflows, drift isn’t “funny”… it’s risk.
What You Get
Stability Baselines + Regression Checks
- •Baseline behavior snapshots across key scenarios
- •Regression testing after prompt/model/tool updates
- •Clear pass/fail criteria for reliability
Drift Signals + Monitoring Recommendations
- •What to track (tone, refusal rates, accuracy, tool errors, escalation frequency)
- •Simple monitoring plan that fits your stack
- •Early-warning indicators before users complain
Scenario Reliability Testing
- •Stress-test across edge cases and real user patterns
- •Consistency checks (does it answer the same way over time?)
- •Failure modes + mitigation suggestions
Actionable Report (Not Just Vibes)
- •Where drift is likely and why
- •What to change now vs. what to monitor
- •Optional retest after fixes
How It Works
Baseline
We define scenarios and capture stable baseline outputs.
Run
We test across updates, time windows, and edge cases.
Detect
We identify drift patterns, regressions, and root causes.
Harden
You get recommendations + monitoring so it stays reliable.
Stop Drift Before It Becomes a Support Ticket
Get a reliability baseline + drift testing plan so your agent stays consistent as everything around it changes.
Book Drift Testing→