Real LLM Drift Detection Results: Exact Outputs, Real Scores, No Fabrication

I run LLM monitoring. Before launching DriftWatch publicly, I ran our own test suite against production-style prompts to validate the detection algorithm. Here's what we actually found - real numbers, exact outputs, no extrapolation. The Data Note First These scores are from running DriftWatch on 5 production-style prompts via Claude API - two consecutive runs, same model checkpoint, measured by our drift detection algorithm. I'm posting the exact inputs and outputs because real data is useful than theoretical examples.