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- AI estimation should use a cone-of-uncertainty approach with wide initial ranges that narrow as the team learns about the data and model behavior across CPMAI iterations. Because outcomes depend on data and experimentation, a single precise upfront number is misleading. CPMAI favors iterative re-estimation tied to the Go/No-Go gates rather than borrowing fixed software estimates.