RoxPrep
Adaptive race-preparation system for HYROX athletes with structured, coach-delivered training.

The Problem
RoxPrep is built around a central adaptive engine that evaluates time to race, recent workload, logged fatigue, and station-specific performance to determine what an athlete should do each day. The system combines a race-anchored training engine with a template-driven coach platform, allowing a primary coach to deliver a scalable, systemized training method through a mobile-first experience. The architecture includes a robust decision system that adapts workouts based on athlete feedback and performance metrics.
The System
The mobile-first design prioritizes clarity and confidence-building with an opinionated interface that minimizes decision fatigue. The athlete experience centers on the 'Today's Plan' view that presents a clear, step-by-step checklist of activities. The coach interface provides separate 'Studio Mode' for deep program creation and 'Command Mode' for daily oversight. The design language uses role-based UI components to ensure each user sees only what's relevant to them, with a calm, confidence-building tone throughout.
How It Works
INPUT → LOGIC → EXECUTION → OUTPUT
RoxPrep is positioned for serious HYROX athletes who want structured, adaptive training without guesswork. The marketing strategy emphasizes the system's ability to deliver race-specific, adaptive daily training that responds to an athlete's actual performance and recovery patterns. The subscription model centers around a primary coach who operates RoxPrep as their system, with clear forecasting of race-day outcomes presented with appropriate confidence bands rather than guarantees.
What It Governs
How training execution is structured and maintained through adaptive programming.
System Definition Coverage
Inputs
Athlete goals, race timeline, readiness signals, and logged performance data.
Constraints
Training load limits, recovery thresholds, and race-specific progression rules.
Decision Logic
Adaptive engine selects daily sessions from structured templates based on current readiness and race phase.
State & Flow
Onboarding baseline -> daily check-in -> plan adaptation -> session execution -> feedback loop.
Outputs
Daily training prescriptions, coach-facing adjustments, and structured race-readiness progression.
Validation
Session compliance, fatigue response, and periodic performance checkpoints confirm system alignment.
Result
Consistent training execution without manual planning.
Past Builds
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