Implementation Progress
Current status of all major implementation phases as of May 28, 2026.
100%
Backend Complete
100%
Mobile Complete
100%
Self-Hosted ML
96%
Overall Progress
Master Plan Progress
All implementation phases from the master build plan.
Phase 1: Backend Core Complete
User management, families, content, capsules, notifications, posts, child safety
Phase 2: Authentication Complete
Cognito integration, PIN system, biometrics, email verification
Phase 3: Transcend AI Complete
Legacy avatar system, voice cloning, lip-sync video, holographic effects
Phase 4: Self-Hosted ML Complete
Local TTS (Coqui), Whisper transcription, Wav2Lip video, cost reduction
Phase 5: Mobile App Complete
Ionic/Angular app, native iOS & Android projects created
Phase 6: Production Setup In Progress
Firebase/APNs for push notifications, AWS SNS configuration
Self-Hosted Architecture (100% Self-Sufficient)
All services are self-hosted as PRIMARY. External APIs exist as emergency backups only - not required for operation.
flowchart TB
subgraph Client["Mobile App (iOS/Android/Web)"]
UI["User Interface"]
Voice["Voice Input"]
WebGL["WebGL Hologram FX"]
end
subgraph SelfHosted["Self-Hosted Services (Docker) - PRIMARY"]
direction TB
subgraph ML["ML Pipeline - FREE"]
Whisper["Faster-Whisper
STT :5004"] TTS["Coqui XTTS v2
Voice Clone :5002"] LipSync["Wav2Lip
Lip-Sync :5003"] end subgraph Moderation["Content Moderation - FREE"] NudeNet["NudeNet
Explicit :8090"] InsightFace["InsightFace
Faces :8090"] CLIP["CLIP
Violence :8090"] end subgraph LLM["LLM Options"] Claude["Claude API
(Current)"] Ollama["Ollama/vLLM
(Self-hosted)"] Llama["Llama 3.1 70B
(Local GPU)"] end end subgraph Backend["Node.js Backend"] API["Express API
:3000"] Providers["Provider Factory"] end subgraph Storage["Data Storage"] DynamoDB[("DynamoDB")] S3["S3/MinIO"] Pinecone[("Pinecone RAG")] end subgraph CloudFallback["BACKUP ONLY (Not Required)"] Replicate["Replicate API"] ElevenLabs["ElevenLabs"] DID["D-ID"] Rekognition["AWS Rekognition"] end UI --> Voice Voice --> API API --> Whisper API --> NudeNet Whisper --> Providers Providers --> Claude Providers -.-> Ollama Providers -.-> Llama Claude --> TTS TTS --> LipSync LipSync --> API API --> UI UI --> WebGL Providers --> DynamoDB Providers --> S3 Providers --> Pinecone TTS -.->|Backup Only| ElevenLabs LipSync -.->|Backup Only| DID Whisper -.->|Backup Only| Replicate NudeNet -.->|Backup Only| Rekognition style ML fill:#d1fae5 style Moderation fill:#d1fae5 style LLM fill:#e0e7ff style CloudFallback fill:#fef3c7
STT :5004"] TTS["Coqui XTTS v2
Voice Clone :5002"] LipSync["Wav2Lip
Lip-Sync :5003"] end subgraph Moderation["Content Moderation - FREE"] NudeNet["NudeNet
Explicit :8090"] InsightFace["InsightFace
Faces :8090"] CLIP["CLIP
Violence :8090"] end subgraph LLM["LLM Options"] Claude["Claude API
(Current)"] Ollama["Ollama/vLLM
(Self-hosted)"] Llama["Llama 3.1 70B
(Local GPU)"] end end subgraph Backend["Node.js Backend"] API["Express API
:3000"] Providers["Provider Factory"] end subgraph Storage["Data Storage"] DynamoDB[("DynamoDB")] S3["S3/MinIO"] Pinecone[("Pinecone RAG")] end subgraph CloudFallback["BACKUP ONLY (Not Required)"] Replicate["Replicate API"] ElevenLabs["ElevenLabs"] DID["D-ID"] Rekognition["AWS Rekognition"] end UI --> Voice Voice --> API API --> Whisper API --> NudeNet Whisper --> Providers Providers --> Claude Providers -.-> Ollama Providers -.-> Llama Claude --> TTS TTS --> LipSync LipSync --> API API --> UI UI --> WebGL Providers --> DynamoDB Providers --> S3 Providers --> Pinecone TTS -.->|Backup Only| ElevenLabs LipSync -.->|Backup Only| DID Whisper -.->|Backup Only| Replicate NudeNet -.->|Backup Only| Rekognition style ML fill:#d1fae5 style Moderation fill:#d1fae5 style LLM fill:#e0e7ff style CloudFallback fill:#fef3c7
Transcend Avatar Pipeline
Complete flow from user input to holographic avatar response.
sequenceDiagram
participant U as User
participant M as Mobile App
participant B as Backend API
participant W as Whisper (STT)
participant L as LLM (Claude/Local)
participant R as RAG (Pinecone)
participant T as TTS (Coqui)
participant V as Wav2Lip (Video)
participant G as WebGL (FX)
U->>M: Speak or Type
M->>B: POST /transcend/chat
alt Voice Input
B->>W: Transcribe audio
W-->>B: Text transcript
end
B->>R: Query memories
R-->>B: Relevant context
B->>L: Generate response
L-->>B: AI response text
B->>T: Synthesize voice
T-->>B: Audio file
B->>V: Generate lip-sync
V-->>B: Video file
B-->>M: Video URL
M->>G: Apply hologram FX
G-->>U: Display avatar
Cost Comparison
Self-hosted vs external API costs per operation.
External APIs (If We Used Them)
| Service | Cost |
|---|---|
| Transcription (Whisper API) | $0.003/sec |
| Voice Clone (ElevenLabs) | $0.03/clone |
| TTS (ElevenLabs) | $0.03/1k chars |
| Lip-Sync Video (D-ID) | $0.10/min |
| Content Moderation (Rekognition) | $0.001/image |
| Face Detection (Rekognition) | $0.001/image |
| LLM (Claude) | $0.02-0.05 |
| Total per operation | $0.15-0.30 |
Self-Hosted (What We Use - PRIMARY)
| Service | Cost |
|---|---|
| Transcription (Faster-Whisper) | FREE |
| Voice Clone (Coqui XTTS v2) | FREE |
| TTS (Coqui XTTS v2) | FREE |
| Lip-Sync Video (Wav2Lip) | FREE |
| Content Moderation (NudeNet) | FREE |
| Face Detection (InsightFace) | FREE |
| Violence Detection (CLIP) | FREE |
| Hologram FX (WebGL) | FREE |
| LLM (Claude or Ollama) | $0.02-0.05 or FREE |
| Total per operation | $0.02-0.05 or FREE |
85-100% Cost Reduction
LLM Provider Options
Choose your level of autonomy vs convenience.
Anthropic Claude API
Claude 3.5 Sonnet
Best quality, fastest integration, recommended for production
$0.003/1K input, $0.015/1K output
Pros
- Highest quality responses
- No GPU requirements
- Always up-to-date
- Excellent at maintaining persona
Cons
- External dependency
- Per-request cost
- Internet required
Ollama (Local Development)
Llama 3.1 8B / 70B
Self-hosted, runs on local GPU or CPU
FREE
# Install Ollama curl -fsSL https://ollama.com/install.sh | sh # Pull model ollama pull llama3.1:70b # Run server ollama serve
Configuration
LOCAL_LLM_ENDPOINT=http://localhost:11434 LLM_PROVIDER=ollama LLM_MODEL=llama3.1:70b
vLLM (Production Self-Hosted)
vLLM + Llama 3.1 70B
High-throughput inference server for production
FREE (GPU costs apply)
# Docker with NVIDIA GPU docker run --gpus all -p 8000:8000 \ vllm/vllm-openai:latest \ --model meta-llama/Llama-3.1-70B-Instruct \ --tensor-parallel-size 2
Requirements
- NVIDIA GPU with 48GB+ VRAM (e.g., 2x A100)
- ~$2-4/hour on cloud GPU instances
- Or dedicated server: ~$15k one-time
External Dependencies
Required external services for full autonomy analysis.
pie showData
title External vs Self-Hosted Services
"Self-Hosted (FREE)" : 12
"Required External" : 2
"Backup Only" : 3
Service Classification
Database (DynamoDB/Local)
Storage (S3/MinIO)
Transcription (Faster-Whisper)
TTS (Coqui XTTS v2)
Voice Cloning (Coqui XTTS v2)
Lip-Sync Video (Wav2Lip)
Explicit Detection (NudeNet)
Face Detection (InsightFace)
Violence Detection (CLIP)
Hologram FX (WebGL)
LLM (Ollama/vLLM)
Vector DB (pgvector)
Stripe (Payments)
AWS Cognito (Auth)
Claude API (Backup LLM)
Push Notifications (FCM/APNs)
Email (SES/Mailpit)
Minimum External Dependencies for Production
- Stripe - Payment processing (required for monetization)
- AWS Cognito - User authentication (can be replaced with self-hosted auth)
With Ollama/vLLM for LLM, the platform can run with only payment processing as the required external dependency.
Monthly Hosting Costs
Estimated costs for self-hosted infrastructure.
xychart-beta
title "Monthly Hosting Cost Comparison"
x-axis ["External APIs", "Self-Hosted (Cloud)", "Self-Hosted (On-Prem)"]
y-axis "Monthly Cost ($)" 0 --> 5000
bar [4500, 800, 200]
Cloud Self-Hosted (Recommended)
| Service | Monthly |
|---|---|
| EC2 (c6i.2xlarge) - Backend | $250 |
| EC2 (g4dn.xlarge) - ML Services | $380 |
| DynamoDB (On-Demand) | $50 |
| S3 Storage (100GB) | $3 |
| CloudFront CDN | $50 |
| Cognito (10K users) | $55 |
| Total | ~$800/month |
On-Premises (Maximum Autonomy)
| Item | One-Time |
|---|---|
| Mac Studio M2 Ultra (ML) | $4,000 |
| Mac Mini M4 (Backend) | $600 |
| Synology NAS (Storage) | $500 |
| UPS + Networking | $400 |
| Total (One-Time) | ~$5,500 |
| Monthly: Electricity ~$50, Internet ~$100 | |
Native App Platforms
Capacitor native projects created May 28, 2026.
iOS
Project Created
Android
Project Created
14
Plugins Installed
# Build and sync native projects cd mobile npm run build npx cap sync # Open in IDE npx cap open ios # Opens Xcode npx cap open android # Opens Android Studio # Installed Plugins: # - @capacitor/push-notifications # - @capacitor/camera # - @capacitor/geolocation # - @aparajita/capacitor-biometric-auth # - @aparajita/capacitor-secure-storage # - + 9 more...
Push Notification Setup Required
| Platform | Configuration Needed | Status |
|---|---|---|
| iOS | APNs certificate in Apple Developer Portal | Pending |
| Android | google-services.json from Firebase Console | Pending |
| Backend | AWS SNS Platform Applications | Pending |
Beta Launch Checklist
gantt
title Beta Launch Timeline
dateFormat YYYY-MM-DD
section Backend
Core APIs :done, b1, 2026-05-01, 2026-05-20
Transcend AI :done, b2, 2026-05-15, 2026-05-27
Self-Hosted ML :done, b3, 2026-05-20, 2026-05-28
Push Notifications :active, b4, 2026-05-28, 2026-06-01
section Mobile
Core Features :done, m1, 2026-05-01, 2026-05-25
Native Projects :done, m2, 2026-05-28, 2026-05-28
Firebase Setup :crit, m3, 2026-05-29, 2026-06-01
TestFlight/Play :m4, 2026-06-01, 2026-06-05
section Infrastructure
AWS CDK Stacks :done, i1, 2026-05-10, 2026-05-20
ML Docker Stack :done, i2, 2026-05-20, 2026-05-28
Production Deploy :i3, 2026-06-01, 2026-06-07