Synthetic Lab — AI Evaluation & Simulation Architecture Independent technical architecture for controlled synthetic evaluation of AI-generated candidates and system mechanisms. Designed around explicit world state, observation boundaries, hidden truth, event generation, failure injection, adversarial testing, baseline/candidate/challenger comparison, scoring, metrics and evidence hashing. Synthetic evidence remains explicitly labeled and separated from real-world validation.