EverAfter - Digital Legacy & Health Companion

A production-grade ChatGPT-class assistant with health intelligence. Features St. Raphael (health companion), autonomous task execution, and daily progress tracking. Built with React, TypeScript, Tailwind CSS, and Supabase.

🚀 Quick Start

Prerequisites

• Node.js 18+ and npm
• Supabase account (https://supabase.com)
• OpenAI API key (https://platform.openai.com/api-keys)

Installation

# 1. Install dependencies
npm install

# 2. Copy environment template
cp .env.example .env

# 3. Add your Supabase credentials to .env
# Get these from: https://supabase.com/dashboard/project/YOUR_PROJECT/settings/api
VITE_SUPABASE_URL=https://YOUR_PROJECT.supabase.co
VITE_SUPABASE_ANON_KEY=your-anon-key-here

# 4. Start development server
npm run dev

The application will be available at http://localhost:5000

Deploy Edge Functions

CRITICAL: Edge Functions require additional setup. See EDGE_FUNCTIONS_SETUP.md for complete instructions.

Quick version:

# 1. Set OpenAI API key in Supabase Dashboard → Functions → Secrets
#    Name: OPENAI_API_KEY
#    Value: sk-your-actual-key-here

# 2. Link your project
supabase login
supabase link --project-ref YOUR_PROJECT_REF

# 3. Deploy functions
supabase functions deploy raphael-chat
supabase functions deploy task-create
supabase functions deploy daily-progress

# 4. Test deployment
USER_JWT='your-jwt-here' ./scripts/smoke-test.sh

Features

Production Features

Unified Task System (engram_ai_tasks):

• Single source of truth for all health and personal tasks
• St. Raphael operates through engrams schema
• Full audit trail with execution logs
• Status tracking: pending → in_progress → done/failed

St. Raphael Health Companion:

• ChatGPT-class conversational AI
• Health information and emotional support
• Never diagnoses or prescribes (safety-first design)
• Automatic daily progress tracking
• Emergency escalation patterns

Edge Functions (Production-Grade):

• raphael-chat: AI chat with safety guardrails
• task-create: Create health/personal tasks
• daily-progress: Track user engagement
• Structured error responses (code/message/hint)
• JWT forwarding with RLS enforcement

Health Monitoring:

• Medication tracking with adherence rates
• Appointment scheduling and reminders
• Health goal setting and progress
• Emergency contact management
• Health Connectors with OAuth integration (see below)

Health Connectors:

• OAuth-based integration with health data providers
• Aggregators: Terra (multi-device), Human API, Validic, Metriport
• Wearables: Fitbit, Oura Ring, WHOOP, Garmin, Withings, Polar
• Glucose/CGM: Dexcom, Abbott Libre (via aggregators)
• Clinical/EHR: SMART on FHIR (Epic, Oracle Health/Cerner)
• Webhook ingestion with signature verification
• Background sync with idempotent processing
• Normalized metrics storage (steps, heart rate, sleep, glucose, etc.)
• See Health Connectors Setup for configuration

Security & Compliance

• ✅ Row Level Security (RLS) on all 30+ tables
• ✅ All policies use (select auth.uid()) for performance
• ✅ JWT authentication enforced in Edge Functions
• ✅ OpenAI API keys stored in Supabase Secrets (never in code)
• ✅ Function security with search_path hardening
• ✅ PHI protection (no logging of sensitive health data)
• ✅ CORS headers configured
• ✅ Rate limiting available

See SECURITY.md for complete threat model and mitigations.

User Experience

• iPhone-optimized (320-430px, safe areas, no horizontal scroll)
• Responsive design for all devices
• Dark theme with accessible contrast
• Loading states and error handling
• Production-ready interface
• Smooth animations and transitions

Tech Stack

• Frontend: React 18 + TypeScript + Vite
• Styling: Tailwind CSS
• Icons: Lucide React
• Routing: React Router v6
• Backend: Supabase (PostgreSQL + Auth + Edge Functions)
• State Management: React Hooks + Context API
• Optional: Python FastAPI backend (for advanced ML features)

Architecture

EverAfter uses a Supabase-First Architecture:

• All authentication via Supabase Auth
• All database operations via Supabase PostgreSQL
• All API endpoints via Supabase Edge Functions (8 serverless functions)
• Python FastAPI backend available but optional (only for advanced ML/NLP)

See ARCHITECTURE.md for detailed system design.

Project Structure

src/
├── components/          # React components
│   ├── CustomEngramsDashboard.tsx
│   ├── DailyQuestionCard.tsx
│   ├── EngramChat.tsx
│   ├── EngramTaskManager.tsx
│   ├── FamilyMembers.tsx
│   ├── ProtectedRoute.tsx
│   ├── RaphaelAgentMode.tsx
│   └── SaintsDashboard.tsx
├── contexts/           # React contexts
│   └── AuthContext.tsx
├── hooks/             # Custom React hooks
│   └── useAuth.tsx
├── lib/               # Third-party integrations
│   ├── supabase.ts
│   └── api-client.ts
├── pages/             # Page components
│   ├── Dashboard.tsx
│   ├── Login.tsx
│   ├── Signup.tsx
│   └── Pricing.tsx
├── App.tsx            # Main application component
└── main.tsx           # Application entry point

supabase/
├── migrations/        # Database schema migrations (17 files)
└── functions/         # Edge functions (8 serverless functions)

backend/               # Optional Python FastAPI backend
├── app/              # FastAPI application
└── requirements.txt  # Python dependencies

Environment Variables

The Supabase credentials are already configured in .env:

VITE_SUPABASE_URL=https://rfwghspbhuqdhyyipynt.supabase.co
VITE_SUPABASE_ANON_KEY=eyJhbG...

Database Schema

The application uses 17+ Supabase tables including:

Core Tables:

• profiles - User information
• archetypal_ais - Custom AI personalities
• daily_question_pool - 365 questions
• daily_question_responses - User responses
• user_daily_progress - Progress tracking

Saints AI:

• saints_subscriptions - Active Saints per user
• saint_activities - Activity logs

Family & Social:

• family_members - Family access control
• family_personality_questions - Questions for family
• family_member_invitations - Invitation system

Advanced Features:

• agent_task_queue - Autonomous task system
• personality_dimensions - Multi-layer personality model
• vector_embeddings - AI personality vectors
• subscriptions - Stripe payment management

All tables have Row Level Security enabled with proper policies.

Key Features Explained

1. Saints AI Dashboard

Pre-configured AI assistants:

• St. Raphael (FREE): Health management, appointments, prescriptions
• St. Michael (Premium): Security & privacy protection
• St. Martin (Premium): Charitable giving & community
• St. Agatha (Premium): Crisis support & resilience

2. Custom Engrams

Build your own AI personalities:

• Answer daily questions (365-day journey)
• AI learns your communication style, values, humor
• Activate when readiness reaches 80%
• Chat with your trained AI

3. Family Members

• Invite family via email
• Send personality questions
• Collect external memories
• Build family member AI representations

Development

# Development mode with hot reload
npm run dev

# Type checking
npx tsc --noEmit

# Linting
npm run lint

# Production build
npm run build

# Preview production build
npm run preview

Deployment

See DEPLOYMENT_CHECKLIST.md for detailed deployment instructions.

Recommended: Vercel

npm install -g vercel
vercel --prod

Alternative: Netlify

npm install -g netlify-cli
netlify deploy --prod

Health Connectors Setup

The Health Connectors system allows Raphael to integrate with external health data providers through OAuth and webhooks.

Architecture

1. OAuth Flow: User initiates connection → Edge Function redirects to provider → Callback stores tokens
2. Webhook Ingestion: Provider sends data → Signature verified → Metrics normalized → Stored in health_metrics
3. Manual Sync: User triggers backfill → Edge Function fetches historical data → Stored with idempotency

Database Tables

• provider_accounts: OAuth tokens and connection status
• health_metrics: Normalized health data (steps, heart rate, sleep, glucose, etc.)
• webhook_events: Webhook audit log with deduplication

Supported Providers

Aggregators (One OAuth, Multiple Devices)

• Terra: https://tryterra.co/ - Supports Fitbit, Garmin, Apple Health, Google Fit, Oura, WHOOP, and more
• Human API: https://humanapi.co/ - Wellness + Medical records
• Validic: https://validic.com/ - Broad device catalog with streaming
• Metriport: https://metriport.com/ - Open-source, FHIR-native

Direct Wearables

• Fitbit: https://dev.fitbit.com/ - Steps, heart rate, sleep
• Oura Ring: https://cloud.ouraring.com/docs/ - Sleep, HRV, readiness
• WHOOP: https://developer.whoop.com/ - Strain, recovery (coming soon)
• Garmin: https://developer.garmin.com/ - Fitness, VO2 max (coming soon)
• Withings: https://developer.withings.com/ - Weight, BP (coming soon)
• Polar: https://www.polar.com/accesslink-api/ - Training load (coming soon)

Glucose Monitoring (CGM)

• Dexcom: https://developer.dexcom.com/ - Real-time glucose via OAuth
• Abbott Libre: Via aggregator partners (no public API)

Clinical/EHR

• SMART on FHIR: https://docs.smarthealthit.org/ - Epic, Oracle Health/Cerner, etc.
• Requires per-institution registration

Provider Configuration

1. Set Environment Variables

Add to Supabase Dashboard → Functions → Secrets:

APP_BASE_URL=https://your-app.com

# Terra
TERRA_CLIENT_ID=your_terra_client_id
TERRA_CLIENT_SECRET=your_terra_secret
TERRA_WEBHOOK_SECRET=your_terra_webhook_secret

# Fitbit
FITBIT_CLIENT_ID=your_fitbit_client_id
FITBIT_CLIENT_SECRET=your_fitbit_secret
FITBIT_SUBSCRIBER_VERIFICATION_CODE=your_verification_code

# Oura
OURA_CLIENT_ID=your_oura_client_id
OURA_CLIENT_SECRET=your_oura_secret

# Dexcom
DEXCOM_CLIENT_ID=your_dexcom_client_id
DEXCOM_CLIENT_SECRET=your_dexcom_secret

2. Register OAuth Applications

Terra:

1. Sign up at https://dashboard.tryterra.co/
2. Create new integration
3. Set redirect URL: https://your-app.com/api/connect-callback
4. Set webhook URL: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-terra

Fitbit:

1. Register app at https://dev.fitbit.com/apps/new
2. OAuth 2.0 Application Type: Server
3. Redirect URL: https://your-app.com/api/connect-callback
4. Webhook subscription URL: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-fitbit

Oura:

1. Request API access at https://cloud.ouraring.com/oauth/applications
2. Set redirect URI: https://your-app.com/api/connect-callback

Dexcom:

1. Register at https://developer.dexcom.com/
2. Use sandbox for testing: https://sandbox-api.dexcom.com
3. Set redirect URI: https://your-app.com/api/connect-callback

3. Deploy Edge Functions

# Deploy OAuth handlers
supabase functions deploy connect-start
supabase functions deploy connect-callback

# Deploy webhook handlers
supabase functions deploy webhook-terra
supabase functions deploy webhook-fitbit
supabase functions deploy webhook-oura
supabase functions deploy webhook-dexcom

# Deploy sync function
supabase functions deploy sync-health-now

4. Configure Webhooks

For providers that support webhooks, register the webhook URLs in their developer dashboards:

• Terra: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-terra
• Fitbit: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-fitbit
• Oura: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-oura
• Dexcom: https://YOUR_PROJECT.supabase.co/functions/v1/webhook-dexcom

Security Notes

• All OAuth tokens encrypted at rest in Supabase
• Webhook signatures verified on every request
• Idempotent processing prevents duplicate data
• Row Level Security enforces user data isolation
• No PHI/credentials logged
• Rate limiting on sync endpoints

Known Constraints

• Apple HealthKit: Requires native iOS app companion
• Android Health Connect: Requires native Android app
• Strava: Workout data only; training/AI uses violate ToS
• Abbott Libre: Must use aggregator programs (no public API)

Metric Normalization

All providers map to standardized metrics:

• steps (count)
• resting_hr (bpm)
• hrv (ms)
• sleep_efficiency (%)
• glucose (mg/dL)
• tir (% time in range for glucose)
• vo2_max (ml/kg/min)
• calories (kcal)

See Edge Function handlers for complete mapping tables.

Glucose & Metabolic Health Connectors

CRITICAL SAFETY: This system provides informational data only. It does NOT diagnose, prescribe, or provide medical advice. All alerts use conservative clinical thresholds.

Overview

The Glucose & Metabolic Health system integrates continuous glucose monitors (CGM), lab results, and contextual events into a unified, normalized data store that powers Raphael's health insights.

Supported Sources

CGM Devices

• Dexcom G6/G7: OAuth + Webhooks + Poll (Sandbox & Production)
• Libre: Via aggregator partners (Terra, Validic, Metriport)
• Manual Upload: CSV/JSON from Dexcom/Libre exports

Lab Results

• SMART on FHIR: HbA1c (LOINC 4548-4), lipid panels
• Manual Entry: Support for any lab with structured format

Context Events

• Meals (carb counting)
• Insulin dosing
• Exercise (intensity tracking)
• Illness/notes

Database Schema

Core Tables

glucose_readings: High-frequency CGM data (~5 min intervals)

• Normalized to mg/dL (original unit preserved)
• Sources: dexcom, libre-agg, terra, manual, fhir
• Includes trend (rising/falling) and quality indicators
• Unique constraint: (user_id, engram_id, ts, src)

lab_results: Laboratory test results

• LOINC codes for standardization
• HbA1c, lipids, metabolic panels
• FHIR integration ready

metabolic_events: User-logged context

• meal, insulin, exercise, illness, note
• Carb counting, insulin dosing, free-text notes

glucose_daily_agg: Pre-computed daily statistics

• Time-in-Range (TIR) 70-180 mg/dL
• Hypo/hyper event counts
• Mean, SD, GMI (Glucose Management Indicator)
• Computed by nightly cron job

connector_tokens: Secure OAuth token vault

• Encrypted at rest
• Refresh token support
• Expiration tracking

connector_consent_ledger: Compliance audit trail

• Grant/revoke/refresh events
• Scope tracking
• IP and user agent logging

Setup Instructions

1. Environment Variables (Supabase Functions → Secrets)

# Dexcom CGM
DEXCOM_CLIENT_ID=your_dexcom_client_id
DEXCOM_CLIENT_SECRET=your_dexcom_secret
DEXCOM_REDIRECT_URL=https://your-app.com/api/cgm-callback
DEXCOM_ENVIRONMENT=sandbox  # or 'production'
DEXCOM_WEBHOOK_SECRET=your_webhook_secret

# Aggregators (choose one to start)
TERRA_API_KEY=your_terra_key
TERRA_WEBHOOK_SECRET=your_terra_webhook_secret

# FHIR (for lab results)
FHIR_CLIENT_ID=your_fhir_client
FHIR_CLIENT_SECRET=your_fhir_secret
FHIR_REDIRECT_URL=https://your-app.com/api/fhir-callback

# General
APP_BASE_URL=https://your-app.com

2. Register Applications

Dexcom:

1. Apply for Dexcom Developer account: https://developer.dexcom.com/
2. Start with Sandbox environment for testing
3. Production requires partnership agreement
4. Redirect URI: https://your-app.com/api/cgm-callback
5. Webhook URL: https://YOUR_PROJECT.supabase.co/functions/v1/cgm-dexcom-webhook

Terra (for Libre + multi-device):

1. Sign up: https://dashboard.tryterra.co/
2. Get API key and webhook secret
3. Configure webhook: https://YOUR_PROJECT.supabase.co/functions/v1/cgm-agg-webhook

SMART on FHIR:

1. Register with EHR provider (Epic, Cerner/Oracle Health, etc.)
2. Request scopes: patient/Observation.read, launch, offline_access
3. Redirect URI: https://your-app.com/api/fhir-callback

3. Deploy Edge Functions

# OAuth flows
supabase functions deploy cgm-dexcom-oauth
supabase functions deploy cgm-fhir-oauth

# Webhooks
supabase functions deploy cgm-dexcom-webhook
supabase functions deploy cgm-agg-webhook

# Manual upload
supabase functions deploy cgm-manual-upload

# Daily aggregation (schedule this)
supabase functions deploy glucose-aggregate-cron

4. Schedule Cron Job

In Supabase Dashboard → Database → Cron Jobs:

-- Run daily aggregation at 2 AM UTC
SELECT cron.schedule(
  'glucose-daily-aggregation',
  '0 2 * * *',
  $$
  SELECT net.http_post(
    url := 'https://YOUR_PROJECT.supabase.co/functions/v1/glucose-aggregate-cron',
    headers := '{"Content-Type": "application/json", "Authorization": "Bearer YOUR_SERVICE_ROLE_KEY"}'::jsonb
  );
  $$
);

Alert Thresholds (Conservative Clinical Standards)

Urgent Low: <55 mg/dL → Immediate notification (bypasses quiet hours)

Low: <70 mg/dL sustained 20+ min → Notify user

High: >180 mg/dL sustained 60+ min → Notify user

Weekly TIR: <70% over 7 days → Insight + non-diagnostic suggestion

Connection Alerts:

• Webhook silence >6 hours
• Token expiration within 24 hours
• Signature verification failures

Data Flow

1. OAuth Connection: User authorizes → Tokens stored in vault → Initial backfill queued
2. Webhook Ingestion: Provider sends data → Signature verified → Normalized to mg/dL → Upserted into glucose_readings
3. Daily Aggregation: Cron job computes TIR, mean, SD, GMI → Stores in glucose_daily_agg
4. Alert Engine: Evaluates thresholds → Sends notifications via existing system
5. Agent Access: Raphael queries via RLS-protected functions for context-aware responses

Unit Handling

Primary Storage: mg/dL

Conversion: mmol/L × 18.0182 = mg/dL

Preservation: Original unit stored in unit field; raw payload in raw jsonb

Security & Compliance

• Encryption: OAuth tokens encrypted at rest in Supabase
• Signatures: All webhooks verify HMAC signatures
• Idempotency: Unique constraints prevent duplicate ingestion
• RLS: Users can only access their own data
• Audit: All consent actions logged with timestamp, IP, user agent
• PHI Protection: Device serials redacted from logs
• Export/Delete: User-initiated data export and deletion flows

Manual Upload Format

Dexcom CSV (from Clarity export):

Timestamp,Glucose Value (mg/dL),Unit
2024-10-25 08:00:00,120,mg/dL
2024-10-25 08:05:00,125,mg/dL

JSON Format:

{
  "readings": [
    {
      "ts": "2024-10-25T08:00:00Z",
      "value": 120,
      "unit": "mg/dL"
    }
  ],
  "events": [
    {
      "ts": "2024-10-25T07:30:00Z",
      "type": "meal",
      "carbs_g": 45,
      "text": "Breakfast - oatmeal"
    }
  ]
}

Raphael Agent Tools

Raphael can access these functions (server-side only):

• get_glucose_window({ start, end }): Fetch readings with stats
• get_last_hypo_event({ window }): Find recent hypoglycemic events
• compute_tir({ window }): Calculate time-in-range
• add_meal_event({ ts, carbs_g, text }): Log meals
• add_insulin_event({ ts, insulin_units, text }): Log insulin
• set_glucose_alerts({ low, high, durationMin, quietHours }): Configure alerts

All functions respect RLS and validate ownership.

Metrics Computed

• TIR (Time-in-Range): % readings 70-180 mg/dL
• GMI (Glucose Management Indicator): Estimated HbA1c from mean glucose
  • Formula: GMI = 3.31 + (0.02392 × mean_glucose)
• CV (Coefficient of Variation): SD / mean × 100
• Hypoglycemia: <70 mg/dL and <54 mg/dL bands
• Hyperglycemia: >180 mg/dL and >250 mg/dL bands

Testing

Smoke Test (scripts/smoke-glucose.sh):

#!/bin/bash
# Upload fixture CSV
curl -X POST \
  -H "Authorization: Bearer $USER_JWT" \
  -F "file=@fixtures/dexcom-sample.csv" \
  $SUPABASE_URL/functions/v1/cgm-manual-upload

# Trigger aggregation
curl -X POST \
  -H "Authorization: Bearer $SERVICE_ROLE_KEY" \
  $SUPABASE_URL/functions/v1/glucose-aggregate-cron

# Verify data
psql $DATABASE_URL -c "SELECT COUNT(*) FROM glucose_readings;"
psql $DATABASE_URL -c "SELECT * FROM glucose_daily_agg ORDER BY day DESC LIMIT 5;"

Known Constraints

• Dexcom Production: Requires partnership agreement; use Sandbox for development
• Libre Direct: No public API; use aggregator partnerships (Terra, Validic)
• Rate Limits: Backfill operations respect provider rate limits with exponential backoff
• Data Retention: Follow provider ToS for data retention periods

Support & Documentation

• Dexcom API Docs: https://developer.dexcom.com/
• Terra Docs: https://docs.tryterra.co/
• SMART on FHIR: https://docs.smarthealthit.org/
• Clinical Guidelines: ADA Standards of Care (https://diabetesjournals.org/care/issue/47/Supplement_1)

Support & Documentation

• Setup Guide: SETUP.md
• Deployment: DEPLOYMENT_CHECKLIST.md
• Stripe Integration: STRIPE_SETUP.md

Security

• Row Level Security (RLS) on all database tables
• Secure authentication via Supabase Auth
• Protected routes with auth guards
• Environment variables for sensitive data
• Automatic user initialization triggers

Recent Improvements

Code Quality:

• Removed all TypeScript linting errors
• Fixed React Hook dependencies
• Removed unused imports and variables
• Proper type definitions throughout

Authentication:

• Added ProtectedRoute component
• Auto-redirect for authenticated users
• Proper loading states
• Session management

Database:

• Verified all 17+ tables exist
• Confirmed RLS policies active
• Auto user initialization working
• Complete schema migrations

Build:

• Production build: 390KB JS (gzipped: 107KB)
• Optimized CSS: 28KB (gzipped: 5.6KB)
• Zero TypeScript errors
• Clean, maintainable code

License

All rights reserved.

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