  The manual modeling of complex systems is a daunting task; and although a
plethora of methods exist that mitigate this issue, the problem remains very
difficult. Recent advances in generative AI have allowed the creation of
general-purpose chatbots, capable of assisting software engineers in various
modeling tasks. However, these chatbots are often inaccurate, and an
unstructured use thereof could result in erroneous system models. In this
paper, we outline a method for the safer and more structured use of chatbots as
part of the modeling process. To streamline this integration, we propose
leveraging scenario-based modeling techniques, which are known to facilitate
the automated analysis of models. We argue that through iterative invocations
of the chatbot and the manual and automatic inspection of the resulting models,
a more accurate system model can eventually be obtained. We describe favorable
preliminary results, which highlight the potential of this approach.
