Yes. SleekAI reads LearnDash's wp_posts entries for courses, lessons, topics, and quizzes, plus wp_learndash_user_activity for completion records and wp_usermeta course_completed_ keys. You map the fields once in the chatbot config and the bot answers progress questions for any logged-in student against live data.

Tutor LMS stores progress as wp_comments entries with comment_type set to tutor_course_progress, and quiz attempts in wp_tutor_quiz_attempts. SleekAI reads those tables directly. The bot can answer 'what's my best quiz score' or 'how many lessons left in this course' without any custom code.

LifterLMS uses wp_lifterlms_user_postmeta for lesson and section completion plus a custom quiz attempts table. SleekAI maps the fields in the chatbot config and the bot answers progress and grading questions natively. The same bot can also handle the LifterLMS achievement and certificate awards.

Yes. The bot returns the lesson title and the full permalink. Students click and land directly in the lesson, no dashboard scroll needed. For mobile-heavy audiences this is often the difference between resuming the course and abandoning it. Display rules can also pin the bot to course pages so it's always at hand.

Yes. The bot only reads data for the logged-in user it's scoped to. Display conditions enforce 'logged in only', and you can map only the fields you want exposed (skip personal identifiers, only pass progress data). Conversation logs can be configured per-user or globally for instructor review.

SleekAI is a one-time WordPress plugin license. You bring your own OpenAI, Anthropic, Google, or OpenRouter API key and pay the model provider directly at standard rates. A typical progress query costs a fraction of a cent, well below the per-seat fees that LMS chatbot add-ons typically charge on top of the LMS itself.

Yes. Display conditions check role - 'group_leader' or 'lms_instructor' - and route them to a different bot with broader scope. An instructor can ask 'show me students who've fallen behind in Cohort B' and get an aggregate answer rather than a personal one. Multibot makes the split clean.

If you expose a write endpoint via Tool Use, the bot can call it to mark a lesson complete or unlock an admin override. Most operators start read-only and add write capability once they trust the prompt. The bot can also surface a 'mark complete' link the student clicks manually, keeping the audit trail clean.