Yes. The SleekAI Wizard maps the mpcs-course, mpcs-section, and mpcs-lesson post types into named variables your system message uses on every request. Add a new lesson in the admin and the very next conversation can reference it without any scheduled re sync step in between.

Yes. MemberPress access lives in wp_mepr_transactions and wp_mepr_subscriptions. SleekAI surfaces those rows for the current logged in user, so the bot knows whether the visitor owns the course and can decide how much detail to share in any given reply.

You need an account with at least one supported provider. SleekAI works with OpenAI, Anthropic, Google, and OpenRouter, so you can pick a cheap fast model for syllabus Q&A and a stronger model for tutoring explanations. Usage and billing stay on your provider account, not on SleekAI.

Yes, with the boundaries you set in the system prompt. You can let the bot explain the concept behind a quiz question without giving away the exact answer, or you can configure a study mode where the bot does walk through quiz answers for learners who have already passed once and are reviewing.

Yes. The lesson template can pass current course and lesson IDs into chatbot variables, so the system message always reflects the page the student is actually on. That lets the bot reference titles, durations, and section context without the learner having to repeat themselves in chat.

Yes. Multibot mode runs several bots on one site, each with its own system message, data sources, and display conditions. A common setup is a sales page bot focused on syllabus and pricing, an in lesson tutor bot, and an admin bot summarising student progress for the instructor.

MemberPress Courses stores progress and completion as user meta. SleekAI maps that into variables, so the bot can answer how far a learner is, which lessons remain, and what they need to unlock the certificate. It uses the same thresholds the front end progress bar already displays.

Yes. If WPML, Polylang, or TranslatePress translates your courses, SleekAI reads whichever language is currently active on the request. You can also run separate chatbots per language with their own system messages, useful when your audience spans several regions and tones.