The demand for high-performance and environmentally friendly architecture requires an integral consideration for airflow efficiency, contaminant management, and indoor environment quality. Traditional analysis for performance in buildings isolates ventilation, thermal comfort, energy efficiency, and purity of air in a vacuum, not in a coherent system. To fill in this loophole, in this work, a simulation and testing platform combining parametric modeling, computational fluid dynamics (CFD), daylight and energy simulations, contaminant analysis, and wind tunnel testing is proposed. The integration of cutting-edge computational analysis with experimental testing validates predictive accuracy and provides architects and engineers with a sounder decision-support toolset. In the work, important architectural factors such as ventilation approaches, facade arrangements, and pollutant distribution are analyzed, and virtual models are validated with experimental testing in order to mitigate uncertainties and make them applicable in real scenarios. Outcomes reveal that a hybrid analysis not only maximizes contaminant and ventilation efficiency but also maximizes daylight and thermal performance with no loss in occupant comfort. Based on a logical analysis of multi-varied architectural cases and scenarios and under a variety of environmental conditions, in this work, a strong, fact-intensive workflow for healthy, efficient, and flexible buildings is developed. This synergy model is a breakthrough in architectural practice towards a sustainable future, combining indoor environment, conservation of energy, and adaptability in a single model.