Insight problems are used in the study of human creativity problem solving to evaluate the creativity of the solver, and the process through which creativity problem solving is cognitively deployed. However, not many such problems exist, and the factors underlying their creation are not well controlled. The framework CreaCogs proposes ways in which cognitive AI systems could be used to solve diverse such problems using a small set of processes. In this paper, a previous approach for the creation of insight problems proposed in CreaCogs is implemented computationally. The initial experiments, results, limitations, perspectives and potential are reported upon.