Interactive movement coaching and practice workshop platform

Extend qualified supervision between sessions while keeping the clinician's programme in control. For clinics, physiotherapy practices and fitness studios running supervised movement programmes, convert consented movement capture, equipment context, health data and clinician-set constraints into reviewed form feedback, rep counts and adjusted session plans. The benefit is a testable hypothesis, measured through supervised sessions per clinician hour and form errors corrected before the next visit; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect consented movement capture, equipment context, health data and clinician-set constraints, then follow this sequence: 1. Capture consented movement locally and give real-time form feedback during sets. 2. Count repetitions automatically and flag uncertain counts. 3. Adjust the programme from performance, feedback and changing conditions. Resolve uncertain cases with qualified clinicians, approve reviewed form feedback, rep counts and adjusted session plans, and measure supervised sessions per clinician hour and form errors corrected before the next visit against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for rep arithmetic, schema validation, hard safety constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve client consent, source attribution, movement data accuracy and usage permissions. Clinicians approve substantive programme changes and client-facing scope. One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. Implement one approved input format, a bounded representative case set and the first two task modules: capture consented movement locally and give real-time form feedback during sets; count repetitions automatically and flag uncertain counts. Support the third module with operator review: adjust the programme from performance, feedback and changing conditions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned health records, consented movement capture and permitted health data platforms. Cloud session storage, health data import/export and clinic scheduling destinations. Start with file exchange and validate destination specifications before promising direct clinical record writing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Client intake and consent, Live session practice view, Clinician review and programme board. Use a client roster with consent and programme states, a large central live view for the current set, and a right-hand panel for equipment context, cues and clinician notes. Let users compare recorded sets side by side. Display draft, changes requested and approved states. Provide a client practice link with comments anchored to the relevant set. Make the task-specific outcome reviewed form feedback, rep counts and adjusted session plans visible beside its evidence, review state and value baseline.