Mobile apps

FitSherpa – your personal trainer in your pocket

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2026Year

Workout flows, persistence, product UXScope

AI-generated workout plans

Short onboarding creates a training plan matched to goal, equipment, time and experience.

Guided workout session

The app guides users through exercises, sets and rest context instead of leaving them with a static list.

Progress and history

Workout logs, summaries and detail views help users see progress and return to the right context.

The challenge

Design a workout app that supports consistency, not only logging

FitSherpa needed to feel useful during the actual training session: quick enough to use between sets, structured enough to guide the plan, and stable enough to keep workout history meaningful over time.

Keep the workout flow simple under real gym conditions.
Connect exercises, logs, summaries, and progress into one coherent experience.
Leave room for new workout types and product iterations.

Original scope

What was actually delivered in this project

Mobile · Health & Fitness FitSherpa — your personal trainer in your pocket A mobile app that generates AI-powered workout plans, guides users through every set, and surfaces real progress over time — for people who want to train smart without paying for a personal trainer. See features Client chdr.tech (in-house product) Platforms iOS · Android Role Design · Development · DevOps Year 2026 Case study A digital coach that knows your schedule, gear, and goal Most fitness apps force…

FitSherpa bridges both: a tailored plan generated from a 60-second onboarding, a guided session with set-by-set logging, and meaningful progress tracking over time. The challenge Build a product that, within a minute of opening the app, hands the user a personalized training plan — with no expert knowledge, no surveys, no manual configuration.

The plan has to be realistic for the user's constraints (time, equipment, goal) and evolve with their progress. The solution A cross-platform Flutter app backed by Supabase, with workout plans generated by AI through Edge Functions. Four-question onboarding, automatic plan generation, guided sessions with RPE/RIR, full lift & body history, full PL/EN localization, and Google & Apple sign-in.

Key features Everything a coach would tell you on day one Each feature answers a real user question: "How much should I lift today?", "What did I do last week?", "What if I don't have any equipment?". The modules below are those answers. AI-generated plans Onboarding captures hours per week, location, equipment and goal — AI picks the exercises, sets, and progression.

The plan is ready before the user leaves the onboarding flow. Guided workout sessions Step-by-step mode with exercise animations, inline rep and weight inputs, automatic saving, and RPE/RIR tracking for intentional intensity. Last-lift memory For every set we surface what the user lifted last time on this exercise — no more guessing whether "today is a weak day".

The delivered solution

A training experience built around active use

caseStudy.define({
  project: 'FitSherpa – your personal trainer in your pocket',
  focus: 'Mobile-first training flow',
  outcome: 'A stronger base for fitness product growth'
});

Workout continuity

The most important product decision was to treat a workout as a live process, not as a static form. That made routing, persistence, summaries, and detail views part of one experience.

The product was shaped around workout continuity: starting a session, tracking exercises, preserving progress, and returning to the right context without forcing the user through unnecessary screens.

Engineering process

A delivery path matched to the project type

Map workout states

Build mobile session flow

Persist logs and summaries

Prepare new training modes

Results & impact

A stronger base for fitness product growth

Mobiletraining-first UX

Logsstructured progress data

Flowresume and summary paths

Nextready for new workout types

Next step

Related CHDR services

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See mobile app service

MVP development

For launching the first version fast and validating product assumptions with real users.

See MVP service

System integrations & backend

For mobile apps that also need APIs, admin logic, and integrations behind the scenes.

See integrations service

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