The LearnDash Instructor Role add-on adds the wdm_instructor capability set and scopes each instructor to courses they own. The problem starts on the front end: instructors get the same five questions from their learners every week, and they have no scriptable way to delegate the answer back to LearnDash itself.

SleekAI maps your sfwd-courses posts filtered by post_author, the wp_learndash_user_activity rows for learners in those courses, and the instructor capability check stored in wp_usermeta as wp_capabilities. The chatbot can answer learner questions using only the courses, lessons, and quiz scores tied to the current instructor, without bleeding data from a colleague's course catalog.

Generic chatbots have no way to enforce that scoping. They either see every course on the LMS or none at all. SleekAI's display conditions and per-variable scoping let you ship one bot config across all instructors while keeping each conversation strictly within the instructor's slice of the LearnDash data.

Multi-instructor LMSes have a structural problem. The platform is built around one global course catalog, but each instructor effectively runs their own micro-school inside it. Learners reach out with quiz, attempt, and enrollment questions that the instructor has to answer manually, again and again, often through Slack or email instead of the LMS itself.

A SleekAI chatbot scoped to the instructor solves this without giving up the shared-platform benefits of LearnDash. The bot reads the same sfwd-courses, sfwd-quiz, and wp_learndash_user_activity records LearnDash already uses, then filters every query by post_author so the conversation never references another instructor's content. Learners get faster answers about attempt limits, last scores, and what to review before retrying a quiz.

Instructors hitting the same widget see an admin-style summary thanks to display conditions tied to the wdm_instructor capability. Over time the bot becomes a knowledge base that updates itself, because every new course, lesson, and quiz the instructor publishes is automatically in scope. There is no separate corpus to maintain.

The savings show up in two places. First, fewer learner emails reach the instructor. Second, the instructor stops repeating themselves on the same five questions every cohort, because the bot quotes the actual rules straight from LearnDash.