Camera-guided adaptive fitness coaching platform

For

Fitness coaches, physiotherapy clinics and workplace wellness teams running guided training programs

Solves

Coaches cannot watch every client's form, recovery and progress across sessions, so plans drift and injuries go unnoticed.

Delivers

Coach-approved session plans and form notes linked to each client's record

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$12,500 for the MVP, $42,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce coaching hours per client while keeping form and recovery under qualified review.

1. Capture exercise movement through the device camera.
2. Give immediate form and repetition feedback during a set.
3. Speak instructions and encouragement through an interactive coach.
4. Build personalized workout plans from goals and fitness level.
5. Track performance statistics across sessions.
6. Process video analysis and highlight generation on the device.
7. Generate short workout highlight reels for saving or sharing.
8. Support social sharing and community connection.
9. Send motivational reminders and support goal setting.
10. Integrate with popular fitness apps for combined tracking.
11. Read Apple Health workouts, vitals and sleep for readiness.
12. Adapt sessions to recent training load, recovery and sleep.
13. Refine plans through a chat-based coach interface with memory.
14. Sync workouts to Apple Watch for in-session guidance.
15. Generate structured workouts with pacing or heart rate targets.
16. Compare the reviewed result with the recorded baseline and value assumptions.
17. Capture corrections and named-owner approval before consequential use.
18. Export a versioned coach-approved session plan and form notes with source references and unresolved questions.

Everything these tools do, in one app

• Real-time form feedback Uses the device camera to monitor exercise movements and provide immediate feedback on form and repetitions.Found in Impakt AI App, Impakt, Master of Pushups
• Interactive AI coach Offers spoken instructions and encouragement during workouts.Found in Impakt AI App, Impakt
• Personalized workout plans Creates tailored exercise routines or training plans based on user goals and fitness level.Found in Impakt, Master of Pushups, Whistle
• Progress tracking Measures performance and provides statistics to monitor progress over time.Found in Impakt, Master of Pushups
• Local processing for privacy Performs video analysis and highlight generation on the user's device to ensure data privacy.Found in Impakt AI App
• Workout highlight reels Automatically generates short videos showcasing workout accomplishments that can be saved or shared.Found in Impakt AI App
• Social sharing and community Enables users to share fitness journeys on social media and connect with a community for motivation.Found in Impakt
• Motivational reminders Sends reminders and supports goal setting to maintain workout consistency.Found in Master of Pushups
• Fitness app integration Integrates with popular fitness apps for a comprehensive tracking experience.Found in Master of Pushups
• Apple Health data reading Reads Apple Health data such as workouts, vitals, and sleep to assess fitness and readiness.Found in Whistle
• Adaptive planning Alters sessions based on recent training load, recovery, and sleep.Found in Whistle
• Chat-based coach interface Allows users to refine plans through a simple chat interface with a memory system.Found in Whistle
• Apple Watch sync Syncs workouts to Apple Watch for in-session guidance.Found in Whistle
• Structured workouts with targets Generates structured workouts with pacing or heart rate targets.Found in Whistle

What goes in, what comes out

The workflow

1. In
   Start with

   Device camera movement, Apple Health data, sleep and recovery signals and coach-set goals

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect device camera movement

4. 3

   Apple Health data

5. 4

   Sleep and recovery signals and coach-set goals

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Coach-approved session plans and form notes linked to each client's record

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed exercise library and approved camera placement; final form, load and injury judgments remain with the qualified coach. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Client intake and goals, Live session with camera and coach panel, Progress and plan review. Use a client roster with readiness flags, a large central session view showing camera form cues and rep counts, and a right-hand panel for plan targets, health data and coach comments. Let users compare sessions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant session. Make the task-specific outcome coach-approved session plans and form notes linked to each client's record visible beside its evidence, review state and value baseline.

Accounts and administration

Client ownership, session versions, coach comments, approval states, usage allowances, session limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned health records, authorized Apple Health exports and permitted fitness app data. Cloud session storage, wearable sync and coaching destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: capture exercise movement through the device camera; give immediate form and repetition feedback during a set. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will fitness coaches, physiotherapy clinics and workplace wellness teams running guided training programs use it to solve "coaches cannot watch every client's form, recovery and progress across sessions, so plans drift and injuries go unnoticed"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Coach-approved sessions per coaching hour and form corrections after review.
4. Measure, then decide. Track coach-approved sessions per coaching hour and form corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed exercise library and approved camera placement; final form, load and injury judgments remain with the qualified coach. Implement one approved input format, a bounded representative case set and the first two task modules: capture exercise movement through the device camera; give immediate form and repetition feedback during a set. Support the third module with operator review: speak instructions and encouragement through an interactive coach. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around coach-approved session plans and form notes linked to each client's record. Retain the explicit scope boundary: One fixed exercise library and approved camera placement; final form, load and injury judgments remain with the qualified coach.

What the build depends on. Session upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity coaching requires specialist movement QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed exercise library and approved camera placement; final form, load and injury judgments remain with the qualified coach.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined client group. Offer a monthly coaching allowance after repeat demand. Quote complex multi-site or specialist rehabilitation programs separately. These are test prices, not market benchmarks. Package the initial sale as one bounded coach-approved session plan and form notes linked to each client's record. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce coaching hours per client while keeping form and recovery under qualified review. Demonstrate a concrete coach-approved session plan and form notes linked to each client's record using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Fitness coaches, physiotherapy clinics and workplace wellness teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample coach-approved session plan and form notes linked to each client's record from a small authorized input set, with a transparent calculation of coach-approved sessions per coaching hour and form corrections after review and no promised savings.

The first 30 days

1. Week 1: interview five fitness coaches, physiotherapy clinics and workplace wellness teams and inspect a recent example of coaches cannot watch every client's form, recovery and progress across sessions, so plans drift and injuries go unnoticed.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure coach-approved sessions per coaching hour and form corrections after review, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Coach-approved sessions per coaching hour and form corrections after review. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Coach-approved sessions per coaching hour and form corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs coach-approved session plans and form notes linked to each client's record. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved exercise cues, client constraints and review examples, together with reliable delivery for a narrow coaching niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for fitness coaches, physiotherapy clinics and workplace wellness teams running guided training programs. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Impakt AI App, Impakt, Master of Pushups, Whistle, personal trainers and generic fitness applications. Compare this product with the buyer's present method on coach-approved sessions per coaching hour and form corrections after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Camera and video processing, storage, reviewer hours, client revision rounds and licensed exercise content. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of coach-approved session plans and form notes linked to each client's record. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve client privacy, source attribution, health data accuracy and usage permissions. Qualified coaches approve substantive plan changes and referral scope. One fixed exercise library and approved camera placement; final form, load and injury judgments remain with the qualified coach. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.