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Kestutis Bauza

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    Kestutis Bauza commented  · 

    Right now, most AI-generated programs rely heavily on basic inputs such as goals, training frequency, and available equipment. While useful, this approach misses a critical layer: movement quality and biomechanics.

    I’d like to propose integrating an AI-driven movement assessment system that works both in-person and remotely.

    Core Assessments to Include:

    Overhead Squat Assessment
    Standard Squat Assessment
    Single-Leg Balance Test
    Single-Leg Hinge (Hip Stability)
    Basic Mobility Screens (ankle, hip, thoracic spine)

    How It Could Work:

    Clients upload short videos directly into Trainerize (or perform assessments live with a coach)
    AI analyzes joint angles, stability, asymmetries, and movement limitations
    System generates a movement profile highlighting strengths, weaknesses, and risks

    Output:

    Automatically customized workout programs based on:
    Movement limitations
    Stability and mobility deficits
    Strength imbalances
    Smart exercise selection (e.g., regressions/progressions based on capability)
    Injury-risk reduction through corrective exercise integration

    Long-Term Opportunity:
    With input from experienced coaches, the AI could continuously improve by learning from:

    Program adjustments made by coaches
    Client progress and feedback
    Different coaching methodologies and styles

    This would position Trainerize not just as a workout delivery platform, but as a true intelligent coaching system that blends AI with real-world coaching expertise.

    I’d be happy to contribute insights from a coaching and biomechanics perspective if this aligns with your roadmap.

    Thank you for your time and for continuing to improve the platform.