Private Repository

PrepForge

Daily health and selection operating system for special forces preparation.

Next.js
Convex
Kotlin
AI Coaching
Health Data
Open Live App
PrepForge daily health and selection dashboard

Project Overview

PrepForge is a readiness command center for selection preparation. It pulls together bodyweight, vitals, mental acuity, finance, daily schedule, and recovery signals into one high-signal dashboard.

The product is built around practical daily decisions: whether to train, recover, scale back, or fill data gaps. The interface turns WHOOP, Withings, logged workouts, nutrition, and finance constraints into actionable coaching.

The repo includes a web app, mobile-facing API work, Convex backend flows, and AI-assisted coaching patterns designed for the realities of long-duration preparation.

Built Around

Adaptive programming that responds to sleep, recovery, resting heart rate, body composition, and training load.
Daily command-center UX with confidence scoring and explicit reasons behind recommendations.
Mobile API support with JWT-protected data access and Kotlin integration work.
Private health and finance signals modeled as first-class inputs instead of detached logs.

Product Capabilities

Readiness Dashboard
Single view for health, training, and daily execution.
  • - Bodyweight and body composition tracking
  • - Vitals and recovery trend cards
  • - Daily schedule and workout status
  • - Confidence-scored coaching output
Adaptive Coaching
Recommendations explain what to do and why.
  • - Recovery-first guidance
  • - Training load interpretation
  • - Data-gap prompts
  • - AI-assisted daily planning
Integrated Signals
Health, behavior, and finance context in one model.
  • - WHOOP recovery and sleep
  • - Withings body metrics
  • - Nutrition and workout logs
  • - Paycheck and spendable cash constraints

Technical Architecture

Application Layer
  • - Next.js and TypeScript frontend
  • - Convex data model and server functions
  • - Responsive dashboard components
  • - Private Vercel deployment
Data and Intelligence
  • - Claude-powered coaching flows
  • - Health data normalization
  • - JWT-protected mobile API
  • - Kotlin mobile integration path

Project Signals

Daily
Decision Cadence
Built for repeated use
5+
Signal Areas
Health, training, finance, schedule, recovery
AI
Coaching Layer
Recommendation synthesis
Private
Repository
Sensitive personal data model

Interested in Learning More?

This private project reflects hands-on product, engineering, and AI workflow development across the full stack.

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