Even highly creative humans (scientists, artists, influencers…) can produce a limited number of significant outputs in life. Predicting the extent to which their creative capacity is exhausted is significant for making decisions that influence their careers. The work focuses on a data-driven personalisation of personal-creative productivity. From a formal point of view, it is an analysis of short, highly volatile time series, with the fact that the quality of predicting the next ‘production’ of the person under investigation can strongly influence their professional life.