Comprehensive technical documentation of Stage 9 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems begin testing trusted digital entities with real users through experimental or limited human exposure. Details early visibility signals, user interaction testing, A/B exposure patterns, feedback loop mechanisms, and the experimental conditions that determine whether entities progress from limited testing to stable baseline visibility. Part of the AI Visibility Architecture (AIVA) framework documentation.
Bernard Lynch (Sat,) studied this question.