The document presents a first step towards using artificial intelligence to assist with model-based systems engineering (MBSE). It trains a named entity recognition model using 100 sentences to identify actors and use cases from text. This could help accelerate early MBSE adoption phases like creating model libraries. However, more work is needed to develop a coherent foundation and enhance the text-to-model tool. Combining AI and MBSE competencies may enable generating partial SysML models automatically from textual requirements or specifications.