The inner workings of the human mind remain a mystery to this day. A core element of philosophy and science is to understand ourselves better. However, it is a tough challenge to perceive what is going on in someone's head. Questionnaires and interviews can provide some degree of insight into what a subject is thinking or feeling, but misinterpretations are a common problem. Therefore, we firmly believe that an ambulatory brain-computer interface system that can capture mental states will significantly impact our scientific understanding. This paper introduces Mobile Moods AI (MMAI), a software pipeline for AI evaluation of brain data. Still, the data we can extract from even modern Electroencephalography (EEG) devices are very susceptible to interferences. Hence, we introduce and evaluate an AI-based artifact detection approach. Furthermore, the overall concept of the MMAI system is outlined.