Air quality models often group many chemicals together, which can limit their ability to reflect real-world air pollution. In this study, we improved a widely used model by simulating 54 individual organic air pollutants measured across Taiwan. By comparing the model with observations, we corrected emission estimates and improved accuracy. The results show that a small number of pollutants strongly influence ozone formation, offering clear guidance for more effective air quality control.