We use AI in our workflows, and outputs are not always deterministic. How would you test and validate such systems?🤔
With AI, the same input won’t always give the exact same output—so traditional “expected vs actual” testing falls short.
Instead, focus on:
âś… Accuracy and correctness
âś… Confidence thresholds
âś… Data consistency
âś… Behavior and pattern validation
âś… Strong production monitoring
AI quality is less about exact matches and more about reliability and trust.
How are you testing non-deterministic systems? 👇