Mobile App Developer Needed for Premium AI Coaching App

Hi,

We are looking for an experienced mobile app developer or small team to build a premium AI-powered coaching / mentor mobile app from a completed Figma design.

This is NOT a basic chatbot app and not a template app.

The product is a structured AI coaching experience with onboarding, AI memory, daily tasks, accountability, progress tracking, push notifications, subscriptions, and basic content/admin control.

Core MVP features:

- iOS + Android app
- Figma implementation
- registration / login
- onboarding flow
- weak-area / problem selection
- coach intensity selection
- AI first-session questionnaire
- AI mentor chat
- structured AI memory / user context
- daily quote system
- ONE main daily task per day
- YES / NO accountability
- internal commitment score / points
- progress tracking
- weekly reflections
- push notifications
- free access / trial logic
- subscription paywall
- Apple In-App Purchases
- Google Play Billing
- restore purchases
- backend subscription validation
- locked / unlocked access based on subscription status
- basic admin / content control
- App Store + Play Store ready builds
- deployment support
- source code handover
- documentation
- post-delivery bug-fix support

AI requirements:

The AI mentor should not feel like normal ChatGPT.

It should use:

- onboarding answers
- user profile
- goals / preferences
- selected weak areas
- coach intensity
- conversation summaries
- important user facts
- task history
- YES / NO completion history
- progress history
- weekly reflections

We do NOT want to send unlimited raw chat history to the AI every time.

The memory should be structured, scalable, and cost-efficient.

The mentor tone should be:

- direct
- short
- disciplined
- honest
- action-focused
- accountability-driven
- not generic
- not therapy-style
- not motivational fluff

Daily task logic:

The app should give the user ONE main daily task, not multiple random tasks.

Flow:

1. User receives one daily task
2. User receives reminder notification
3. Evening check-in asks YES / NO
4. Result is stored
5. Progress / commitment score updates
6. AI mentor reacts based on behavior
7. Future tasks adapt based on history and user context

For MVP, daily tasks should use templates/categories + AI personalization, not fully random AI-generated content.

Guidance areas should include:

- discipline
- focus
- work / money
- fitness
- dating / relationships
- confidence
- habits
- appearance / grooming / style
- books / films / music recommendations where relevant

These should not be separate complex modules in MVP. They should be part of the AI mentor, task templates, content logic, and daily guidance system.

Admin / content control:

We need a basic content/admin layer to manage:

- daily quotes
- task templates / categories
- basic recommendation content
- AI prompt / config text
- basic user / subscription visibility if possible

This does not need to be a large enterprise admin panel, but important content should not be hardcoded only.

Preferred stack:

Mobile:
- Flutter or React Native / Expo

Backend:
- Node.js / NestJS, Django, FastAPI, Supabase / PostgreSQL

AI:
- OpenAI API
- Claude optional later
- structured memory system
- prompt/config layer

Payments:
- Apple IAP
- Google Play Billing
- RevenueCat acceptable if recommended

Notifications:
- Firebase Cloud Messaging or OneSignal

We will provide:

- completed Figma design
- user flows
- mood board / visual direction
- AI mentor tone direction
- feature explanation
- content examples where needed

Important:

We need someone who understands AI memory, user context, subscriptions, backend logic, scalable architecture, and polished mobile UX.

Payments must be milestone-based.

Payment after each milestone should only be released after a working, testable demo/build is approved.

Please answer clearly:

1. What tech stack would you use and why?
2. How would you handle AI memory / user context?
3. Have you built AI chat or AI assistant apps before?
4. Have you implemented Apple IAP and Google Play Billing before?
5. Would you use RevenueCat or direct Apple/Google billing, and why?
6. How would you structure the backend?
7. What would the basic admin/content control include?
8. Estimated timeline?
9. Best fixed price for the full MVP?
10. Milestone breakdown with payment per milestone?
11. 2–3 real mobile apps you personally built?
12. Confirm source code and handover documentation are included.
13. Confirm payment is released only after each working milestone is approved.

Please do not send a generic proposal.

We are comparing multiple developers and will shortlist based on relevant AI app experience, subscription experience, strong architecture, fair pricing, clear milestones, and ability to understand product logic.

Thanks.