A new evaluation paradigm, the Multilayered Evaluation Framework, is introduced to assess the correctness of Text-to-SQL systems with AI operators. Traditional metrics fail to accurately evaluate these systems, leading to a 25% detection rate for correct translations. The proposed framework decouples deterministic database logic from flexible AI semantics, achieving state-of-the-art accuracy across industry and academic systems.