Imagine a world where educators can effortlessly create custom-tailored learning experiences for every student. That's the promise of AI-powered tutor builders, and new research is bringing us closer than ever. Traditionally, building intelligent tutoring systems (ITSs) required extensive programming knowledge, limiting their accessibility for most educators. However, recent advancements in generative AI are changing the game. Researchers are exploring how large language models (LLMs) can empower educators to design intuitive and engaging tutor interfaces without needing to write a single line of code. By providing high-level descriptions of their tutoring goals, educators can leverage AI to generate initial interface layouts and even individual components like interactive exercises or feedback mechanisms. This approach combines the power of AI automation with the educator's expertise in pedagogy and student needs. Early testing shows promising results, with significant time savings in designing both simple and complex tutor interfaces. The ability to rapidly prototype and refine personalized learning experiences has the potential to revolutionize education, making high-quality, adaptive tutoring accessible to all students. However, challenges remain, such as seamlessly integrating these AI tools into existing educational workflows and ensuring they can meet the diverse needs of real-world classrooms. Future research will focus on these challenges, exploring how to best balance AI assistance with educator control and how to adapt these systems to different learning environments. The ultimate goal is to empower educators to create engaging and effective personalized learning experiences, paving the way for a future where AI-powered tutors help every student reach their full potential.