Find Stalled Students and Draft Re-engagement with AI

I use LifterLMS on my WordPress site. Find the stalled students in my course [course name] and draft outreach to them. Treat a student as stalled if they enrolled more than [30] days ago and are still under [25] percent complete. Use the LifterLMS abilities and only read; do not change enrollments, progress, or student records. Get the roster in one call with the student list ability, filtering by students enrolled in that course and passing context edit so you get names and email addresses. Take each student's enrollment date from the course enrollments ability, not from the student record: the date on the student record is when their WordPress account was created, which is often the same day for everybody and would quietly tell you that nobody is stalled. Count only students whose enrollment is currently active. Then check each student's progress in the course. Show me the stalled students first, as a table of name, email, enrollment date, and percent complete, and stop there so I can look at it. When I say go, work out the lesson order for the course one time: get the course content to list its sections in order, then list the lessons in each section, ordering by the order field. Then for each stalled student, check their progress lesson by lesson in that order and stop at the first lesson they have not completed. Write a short re-engagement email for each person in a warm and plain tone, naming that specific lesson and linking straight to it. Do not send anything. If the course has more than 50 students, tell me the total and work through the first 50.