—In this paper, we introduce an automated approach to domain-specific metamodel construction relying on Large Language Model (LLM). The main focus is adoption in automotive domain. As outcome, a prototype was implemented as web service using Python programming language, while OpenAI's GPT-4o was used as the underlying LLM. Based on the initial experiments, this approach successfully constructs Ecore metamodel based on set of automotive requirements. The main novelty of the presented solution is synergy of iterative approach and intermediate step visualization relying on PlantUML notation, so human experts can provide feedback (corrections and extensions) in order to refine the result. Finally, locally deployable solution is also considered, including the limitations and additional steps required.