Large language models have great potential to be pedagogical tools, able to interact with students as a tutor would, answering questions, addressing misunderstandings, using the Socratic method, etc. Simply directing a generally available chatbot to be a tutor on a specific topic is likely to go down paths that are not relevant or appropriate for a specific class context, however. We have developed a “focused tutor” system in which instructors can easily create custom, targeted tutors by defining learning objectives and assessment questions. Instructors can deploy multiple tutors in a course, each tailored to a different module or goal in the specific context of that class, and assign them to students as low-stakes assessments following a reading or video. In this lightning talk, we will present the motivation, design, and use of this tool, seeking feedback, ideas, and potential collaborations in studying this type of tool.