Practical guides for getting more out of AI study tools, referrals, groups, and partner offers—without losing the plot.

A practical map of the product—tools, dashboard, grades, and coins—so you feel oriented on day one.
getting-started · product · students

A student-facing framework: disclosure, citations, human review, and when to avoid automation altogether.
ai · integrity · ethics · guides

How referral links, coin balances, and grade tiers connect—and what to prioritize if you want more AI capacity.
referrals · rewards · grades

How group spaces reduce friction, share context, and turn AI output into something a cohort can trust.
groups · collaboration · social

Heuristic trust, verification email, and abuse resistance—in plain language for busy students.
trust · security · accounts

Platform budgets, grade caps, and habits that increase your effective runway without burning trust.
ai · limits · grades · how-it-works

How tracking links, holds, and categories work—so you know what is marketing vs. what is contractual.
offers · cashback · finance · trust

How StudyX uses contests and light gamification—and how to engage without burning out.
contests · gamification · community

Why majors, courses, and AI context notes matter—and how much to share comfortably.
profile · ai · privacy

From the feedback form to engineering prioritization—what happens after you hit submit.
feedback · community · product