  This paper explores the potential of generative AI in creating adaptive
educational simulations. By leveraging a system of multiple AI agents,
simulations can provide personalized learning experiences, offering students
the opportunity to practice skills in scenarios with AI-generated mentors,
role-players, and instructor-facing evaluators. We describe a prototype,
PitchQuest, a venture capital pitching simulator that showcases the
capabilities of AI in delivering instruction, facilitating practice, and
providing tailored feedback. The paper discusses the pedagogy behind the
simulation, the technology powering it, and the ethical considerations in using
AI for education. While acknowledging the limitations and need for rigorous
testing, we propose that generative AI can significantly lower the barriers to
creating effective, engaging simulations, opening up new possibilities for
experiential learning at scale.
