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In the past few years, software engineering has witnessed two major shifts: model-driven engineering has entered the mainstream, and some leading development tools have become open and extensible. AI has provided new ideas to software engineering, but most of its gems stayed buried in the laboratories, available only to a limited number of AI practitioners. Should AI tools be integrated into mainstream tools? And can this be done? We think it is feasible and that both communities can benefit from this integration. In fact, some efforts in this direction have already taken place, both from major industrial standardization bodies such as OMG and from academic laboratories. The example presented here should inspire readers to think about integrating their work with mainstream tools.