Rizin

Fixed programming assumes nothing changes. Your equipment changes, your schedule changes, your body changes — and most fitness apps respond by letting you manually edit a template you already paid for. Rizin is an AI personal trainer app that builds your plan from goals, available equipment, schedule, and recovery data, then rewrites it weekly based on what actually happened. The workflow is: onboard with your parameters, get a personalized split, log sessions with effort ratings and soreness, and let Autopilot prepare the next week’s adjustments. The 24/7 AI coach chat handles plain-English meal and workout logging, form questions, exercise swaps, and equipment updates — every change feeds back into the next plan generation rather than living as a disconnected note.

The injury-recovery layer is the feature that separates Rizin from standard periodization apps. Tell it about a shoulder injury and the planner removes exercises that load that structure, substitutes safe alternatives, and uses sleep quality, soreness ratings, and training volume to generate a daily readiness signal that modulates session intensity. This is not a static swap table — the vendor describes it as a continuous feedback loop between logged recovery data and plan output, which means a deload week emerges from your data rather than from a preset schedule.

Rizin fits solo athletes who train across changing conditions — equipment varies, travel disrupts sleep, minor injuries come and go — and who want one app to hold nutrition and training in the same context. Where it breaks: there is no API, no self-hosted option, and no multi-user or coach-facing dashboard described in the vendor docs. Teams building custom integrations or coaches managing rosters hit a wall immediately. Users who track detailed body composition, supplementation, or blood-based personalization will find those features gated behind the paid tier.