MCI - Personal Training AI

What it does

MCI is an AI-powered fitness coach that creates hyper-personalized workout and nutrition plans. The app guides users through an in-depth onboarding quiz to gather data on their goals, physical condition, available equipment, and even existing pain points. Based on this, it generates a structured training schedule, complete with exercise animations, strength tests, and progress tracking.

Where it shines

The app's strength lies in its deep personalization and data-driven feedback loops. The onboarding process, while long, is highly interactive, featuring a unique 3D body fat visualizer (00:51) and a flexible weekly planner (01:41). Once in the app, the workout experience is robust. It includes detailed 3D animations for each exercise (07:20) and conducts initial strength tests (06:32) to set appropriate starting weights. After a session, the summary screen (10:55) doesn't just confirm completion. It provides tangible metrics like total tonnage moved and personal bests, effectively gamifying progress.

UX highlights

Interactive Data Input: Instead of static forms, the app uses sliders and visual models for inputs like body fat percentage and pain location, making the process engaging.
Strength Test Onboarding: For exercises the user hasn't done before, the app initiates a 'strength test' (06:32) to establish a baseline, ensuring weights are tailored from day one.
Flexible Workout Customization: Users have granular control over their workouts. They can easily swap exercises (05:00), remove them with a swipe (05:28), or adjust sets and reps (05:53).
Multi-Modal Nutrition Tracking: The app supports various food logging methods, including a powerful camera-based ingredient recognition feature (14:30), barcode scanning, manual search, and quick entry.
Clear Progress Visualization: Dashboards effectively use charts to show progress over time for metrics like body weight (16:56) and step count (17:18), making trends easy to spot.
3D Exercise Animations: The app provides high-quality 3D animations for exercises from multiple angles (07:24), which helps users understand proper form and reduces the risk of injury.

Monetization & growth

The app employs a hard paywall strategy. After investing significant time in the detailed onboarding quiz (over three minutes), the user is presented with a subscription screen at 03:32. This screen offers a 1-week free trial for its annual plan, with options to view other plans (3 and 6 months). The placement after the personalization process leverages the user's investment to drive conversion. By the time they see the price, a detailed plan has already been 'created' for them, making it harder to abandon the flow.

Who it’s for

MCI appears to be designed for intermediate users who are serious about structured training but want the guidance of a coach without the high cost. The level of detail in both workout and nutrition tracking suggests it's for people who are data-driven and appreciate seeing quantifiable progress. The 'home' workout option and bodyweight exercises make it accessible, but the depth of features would likely appeal most to those with some existing fitness knowledge.

Notes & opportunities

While the personalization is deep, the onboarding process is exceptionally long and could be a point of friction for users seeking a quicker start. The app also uses different color schemes for its main sections (training, nutrition, cardio), which can feel slightly disjointed. Streamlining the initial quiz or offering an 'express' path could improve initial adoption. Additionally, the nutrition section's home screen could benefit from better empty states when no meals are logged, as it currently looks somewhat barren (17:04).