Academy LMS is a free, full-featured LMS plugin used by independent course creators and small academies. It registers post types like academy_courses for courses, academy_lesson for lessons, and academy_quiz for assessments. Enrollments and progress are stored in custom tables (commonly wp_academy_enrollments) plus usermeta, and quiz attempts land in a dedicated table. The default student dashboard lists courses, progress percentages, and recent activity, then leaves the rest to the learner.

SleekAI hooks into those tables. The bot reads which courses the student is enrolled in, the configured lesson order on each academy_courses entry, completion flags per lesson, and the latest quiz attempts with score and pass mark. A display condition scoped to the Academy LMS course slug or post type keeps the bot only on relevant pages. Multibot lets you spin up a per-course coach without bloating one bot's prompt with every curriculum.

Generic chatbots see the page HTML and stop. They cannot reach inside the enrollment table to know which courses the student has bought, do not see the lesson ordering or recent watch progress, and cannot tell which quiz attempt counts toward the certificate. SleekAI references the actual lesson titles, attempt scores, and certificate thresholds, and the system prompt keeps quiz answers locked away while attempts are open.

A progress bar at 58 percent tells a student exactly nothing they did not already know. They are roughly halfway. What they need is a coach who can read the specifics of the situation and tell them what to do next.

Five lessons left including the final exam, your last quiz fell one short of pass mark on aperture, here is the lesson that covers it and the timestamp where the section starts. That kind of guidance turns a stalled course into a finished one. Academy LMS already stores everything required to give that coaching: enrollment rows, lesson order, completion flags, quiz attempts, pass marks, certificate rules.

The default dashboard surfaces a fraction of it. SleekAI surfaces the rest in a conversational form that students actually use, because asking a bot is lower friction than parsing a dashboard. For instructors the conversation log doubles as a content quality signal.

Lessons that generate heavy questioning are candidates for re-recording or restructuring. Quizzes with unusual fail rates are candidates for re-wording. The data has been there all along, locked behind a checkbox list.

The bot lets you act on it.