Personalize
your workout
anywhere.

Project overview
The Go Workout Audios platform embarked on a revolutionary journey to redesign its Mobile Application, aiming to cater to fitness enthusiasts and beginners alike, offering convenient workout solutions for diverse lifestyles. This insight steered the platform’s focus toward creating time-efficient workout sessions.
Session
completion rate
Concept to Live
MVP
Increase in
return users
The challenge
Go Workout Audios had the right idea: short, audio-guided workouts people could do anywhere, anytime. But the platform made them feel like they needed to be a fitness expert just to get started. Users opened the app once, got lost, and never came back. The mission was getting swallowed by the friction.


How we worked
We started by mapping the full user journey — from first open to workout completion — identifying exactly where people were dropping off and why. Fitness app benchmarking helped us understand what users already expected from the category, and what Go Workout Audios could do better than anyone else.
We restructured the entire information architecture around how users actually think about working out: by time available, energy level, and goal type — not by arbitrary content categories. Navigation was rebuilt to get any user to the right workout in under three taps.
We designed a Claude-powered recommendation engine that builds a personal fitness profile from a user’s first session and updates it continuously. It recommends the right workout, at the right duration, for the right moment — and explains its reasoning in plain language so users trust it.
We built the full iOS and Android application with a Node.js backend, Claude integration, and a content management system that lets the Go Workout team add and tag new audio content without touching code. The MVP was live in ten weeks, with AI personalisation active from day one.

Scope of work
A production-ready Claude-powered system that builds a dynamic fitness profile per user — recommending workouts based on goals, history, time available, and real-time preference signals.
A fully redesigned iOS and Android app with fast audio playback, smart discovery, session tracking, and an adaptive home feed — all backed by the Claude intelligence layer.
An AI-driven discovery surface that surfaces the right workout at the right moment — filtered by duration, intensity, equipment, and fitness goal — without the user needing to search manually.
A lightweight but motivating progress system — streak counters, session history, weekly summaries, and AI-generated check-ins — giving users a genuine reason to return every day.
A custom CMS that lets the Go Workout Audios team upload, tag, and schedule new audio content without engineering support — keeping the library fresh with zero friction.
A redesigned onboarding that collects just enough context to make the first session feel tailored, paired with a frictionless subscription flow optimised for conversion.


Services applied
AI SaaS Development
- Full-stack Build
- Mobile Apps
- SaaS Infrastructure
Claude-Powered AI Agents
- Reasoning Engine
- User Context
- Tool Use
Claude MVP Development
- 10-week Delivery
- Lean Scoping
- Fast Iteration
AI Workflow Automation
- Auto-classification
- Pipeline Design
- Content Ops

Results
Go Workout Audios launched to a meaningfully different reception than before.
Session completion rate increased 4× in the first month post-launch, driven by the personalised recommendation feed.
Onboarding drop-off reduced significantly after the rebuilt first-session flow went live.
65% more returning users in month one compared to the previous app version.
Average session duration increased as users stayed engaged through Claude’s adaptive pacing cues.
Content publishing time cut by over 80% after automated audio tagging and CMS deployment.
“PixlerLab didn’t just build us a better app — they gave our product a brain. The Claude personalisation layer changed what Go Workout Audios actually is. It’s not just an audio library anymore. It’s a coach.”
Go Workout Audios Team
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