Weekend projectJuly 2026 · 6 min read

How to Build a Workout Tracker App with AI

Gym loggers live or die on speed of entry — nobody wants to type between sets. That constraint shapes the whole design: big buttons, previous-weights prefill, and a rest timer. All standard patterns AI generates well.

What a workout tracker app needs

  • Log sets, reps, and weight fast
  • Reusable workout routines
  • Rest timer between sets
  • Progress charts per exercise
  • Workout history calendar

The screens

ScreenWhat it does
WorkoutsStart a routine or browse history
Active WorkoutSet logging with prefilled previous weights + rest timer
Exercise DetailProgress chart over time
RoutinesCreate and edit routine templates
SettingsUnits, timers, subscription

The data model

  • Exercise: name, muscleGroup
  • Routine: name, exerciseIds
  • WorkoutSet: exerciseId, date, weight, reps

The build prompt (copy this)

Paste this into ShipNative and it becomes a working React Native app with these screens, navigable in a live preview, in about two minutes:

A workout tracker for the gym. Users pick a routine, log sets with weight and reps (prefill last values), and see progress charts per exercise. Screens: Workouts, Active Workout with rest timer, Exercise Detail with chart, Routines editor, Settings. Subscription unlocks unlimited routines.

Then iterate with small, screen-specific prompts (“make the primary button bigger”, “add an empty state”), preview on your own phone, and export the full Expo project whenever you want. The full method: how to build an app with AI.

How it makes money

Freemium: 2 routines free, unlimited + charts behind a $4–8/mo subscription.

Implementation and the revenue math for every model: how to make money from an app. When you’re ready to ship: App Store and Google Play publishing guides.

Build it now

The prompt above is free to run at shipnative.dev — working workout tracker app on your phone today, full code export, no credit card.

Frequently Asked Questions

Can AI build a workout app with progress charts?

Yes — charts over logged data are a standard generated pattern. The chart library and data wiring come out of the generation step.

What makes a workout app succeed?

Entry speed. If logging a set takes more than two taps, users quit. Test on a real phone at an actual gym before launch.

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Ship a real React Native app today

Describe, preview, and export Expo code — free to start.

Build with ShipNative →