Educators can utilize authoring tools, namely software designed to create and update educational content without requiring technical programming expertise. These tools also enable educators to track their students’ learning progress. However, most authoring tools accompanying Intelligent Tutoring Systems (ITSs) do not allow interference with the AI mechanisms operating in the background. This chapter introduces an innovative authoring tool that not only empowers educators to monitor students’ progress and create courses but also allows them to intervene with the AI mechanism and modify its functions. The ITS in this work utilizes a fuzzy mechanism, which processes imprecise or uncertain information to enhance adaptability and personalize the learning experience. The tutor can introduce additional fuzzy variables to assess the student’s level of knowledge, such as question frequency, percentage of incorrect responses, and the time taken to answer a question beyond the expected duration. This additional customization feature is expected to enable the tutor to tailor the intelligent mechanisms and draw even more precise conclusions about the student’s academic performance or the material to be provided. As a result, students can benefit from a progressively personalized learning experience and improve their learning abilities.