How AI Validates Behavior
Qaptly uses AI to reason about what it observed. This is what turns raw data into intelligence.What AI Looks At
The AI analyzes multiple dimensions of your product:Product State Model
The complete map of states and transitions
Observed Transitions
Actual state changes that occurred
Conditions & Branches
Which paths were taken and why
Expected vs Actual
Comparison with known behavior patterns
Historical Patterns
How the product has behaved in the past
Anomaly Detection
Unexpected deviations from normal behavior
How Validation Works
Instead of checking single assertions, Qaptly evaluates:1
Flow Correctness
Whether a complete user journey behaved as expected
2
Transition Validity
Whether state changes make sense in context
3
Change Detection
Whether something changed unexpectedly from previous versions
4
Risk Assessment
Whether the risk level increased or new failure modes appeared
This allows Qaptly to detect subtle problems that rigid scripts cannot catch.
From Data to Judgment
AI allows Qaptly to say not just “fail”, but:“This behavior is inconsistent with how the product should work.”
Examples of AI Insights:
Advantages of AI Validation
Context-Aware
Understands the product, not just the test
Pattern Recognition
Identifies trends and anomalies
Adaptive
Learns from product evolution
Comprehensive
Validates entire flows, not just assertions
Related Articles
Build the Product Model
Foundation for AI reasoning
What is Recorded
Data AI analyzes
Evidence-Based Results
How validation proves quality