Methodology & Evidence
AI Consumer Validation Methodology v1
This page summarizes how Torobari measures AI-consumer behavior in dry-run commerce scenarios, including AMF scoring inputs, confidence tiers, baseline fallback rules, and claim limitations.
Core evidence model
- Deterministic run replay using normalized inputs + seed.
- Selection probability as primary metric.
- Confidence tiering by run count and baseline sample size.
- Signed evidence exports for auditability and reproducibility.