Built by lifters,
for lifters.
mAI Coach started as a personal project to build the training app we wished existed: one where AI isn't a gimmick, it's the engine.
The Problem
Most fitness apps fall into one of two camps: dead-simple trackers that log sets and reps but offer zero intelligence, or AI-powered gimmicks that generate generic programs without knowing anything about you. Neither category connects your training to your nutrition to your recovery in a meaningful way.
We wanted an app that acts like a real coach: one that knows your equipment, remembers your last session, notices when your bench has stalled, checks your sleep data before suggesting intensity, and adjusts your meal plan when your weight trend changes. That app didn't exist, so we built it.
What Makes mAI Coach Different
Everything talks to everything. Your readiness score shapes your training volume recommendations. Your training volume shapes your nutrition targets. Your nutrition affects how fast you recover. A plateau on bench press gets cross-referenced against your sleep debt and protein intake before the coach suggests a fix. This interconnected approach is what separates mAI Coach from apps that treat training, nutrition, and recovery as three separate products.
The AI is context-aware: it knows your profile, your active gym's equipment, your last seven days of training, your injury history, your coach journal notes, and your current nutrition block. That context is what makes a recommendation from mAI Coach different from a recommendation from a generic chatbot.
Who built this
mAI Coach is an original project created by two software engineers who also happen to spend too much time in the gym.
Travis Whitney
Leads architecture and infrastructure decisions across the platform. Core contributions to the AI coaching engine, ML form-analysis pipeline, nutrition intelligence system, cross-platform development, and cloud sync architecture.
Cole Seifert
Drives brand identity, UI/UX design, and go-to-market strategy. Core contributions to the AI coaching engine, ML model training, recovery and readiness systems, cross-platform development, and the community and social features.
Built with intention
Cross-Platform Native
Separate native apps for iOS and Android with full feature parity. Not a web wrapper. Real native performance with platform-specific design conventions.
On-Device Intelligence
Recovery modeling, plateau detection, volume tracking, progression engines, and nutrition calculations all run locally. Your data stays on your device first.
AI-Powered Coaching
A two-phase smart context system assembles only the relevant data for each AI request, keeping responses fast, focused, and personalized to you.
ML Form Analysis
Custom-trained neural network for bench press form classification, running on-device with real-time pose estimation. Trained on 1,500+ labeled rep samples.
Offline-First Sync
Local storage is always the source of truth. Cloud sync is non-blocking and conflict-aware with last-write-wins resolution and soft-delete support.
Privacy by Design
Health data integration is read-only and opt-in. No advertising, no data selling, no third-party analytics tracking. Your training data is yours.
Questions? Feedback?
We'd love to hear from you. Drop us a message through our contact page.