Students can ask for a one-to-one video tutoring session. My booking engine picks a tutor and a time that suits the student's own time zone, sends the calendar invitation within seconds, and hands anything it is unsure about to a staff member.
Every Friday I predicted how much student work would still be waiting to be graded on Monday, and wrote down in advance what result would prove me wrong. On Monday I checked, and kept a scorecard of hits and misses.
Before every tutoring session, the student gets a message telling them the date and time. I wrote a program that drafts these messages and double-checks the time in the student's own time zone, so I never send a student the wrong hour.
When a new course is added, someone has to decide which team of subject specialists will grade its students' work. Instead of guessing from words in the course title, my program finds the most similar existing courses and lets them vote.
My team relied on copies of the platform's lists of schools, courses and lessons. I built a way to prove that a copy matches the original exactly, and to explain every difference when it does not.
Staff grade student assignments on a web page. I built a small add-on panel that sits beside that page and puts the answer key, the student's other records and a chart of the grading workload in one place.
My team runs its daily work on a shared, spreadsheet-like database. These are the safety rules I use so that changing it never loses or breaks anyone's data, and so the emails it sends to schools are right.