Echo - AI-Powered Personalization Engine

Version: 1.0.0 Status: MVP Development

Overview

Echo is a real-time content personalization platform that combines behavioral analytics (Rybbit) with AI-driven content generation (Eko browser agents) to deliver hyper-personalized user experiences.

Key Features

Automatic Visitor Segmentation: Real-time classification using Rybbit Analytics
AI Content Generation: Personalized content using Eko AI agents
High-Performance Caching: Redis-based caching with 90%+ hit rates
Analytics Dashboard: Real-time performance metrics and optimization tools
Easy Integration: JavaScript SDK with < 10 minute setup

Architecture

┌─────────────────────────────────────────────────────────────┐
│                     USER WEBSITE                            │
│  ┌──────────────────────────────────────────────────────┐  │
│  │  Echo SDK (Tracking & Personalization)               │  │
│  └────────────────┬─────────────────────────────────────┘  │
└────────────────────┼──────────────────────────────────────┘
                     │
                     ▼
┌─────────────────────────────────────────────────────────────┐
│              ECHO PERSONALIZATION ENGINE                    │
│                                                              │
│  ┌────────────────────┐      ┌─────────────────────────┐   │
│  │  Segmentation      │─────▶│  Content Generation     │   │
│  │  Engine            │      │  (Eko AI Agents)        │   │
│  │  (Rybbit API)      │      └─────────────────────────┘   │
│  └────────────────────┘                │                    │
│           │                             │                    │
│           │                             ▼                    │
│           │                    ┌─────────────────────────┐  │
│           │                    │  Content Cache          │  │
│           │                    │  (Redis)                │  │
│           │                    └─────────────────────────┘  │
│           │                             │                    │
│           ▼                             ▼                    │
│  ┌──────────────────────────────────────────────────────┐  │
│  │          API Layer (REST)                            │  │
│  └──────────────────────────────────────────────────────┘  │
│                                                              │
│  ┌──────────────────────────────────────────────────────┐  │
│  │          Analytics Dashboard (React)                  │  │
│  └──────────────────────────────────────────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Project Structure

/Echo
├── backend/          # Node.js + Express API server
├── frontend/         # React + TypeScript dashboard
├── sdk/             # JavaScript SDK for website integration
├── shared/          # Shared TypeScript types
└── docker-compose.yml

Quick Start

Prerequisites

Node.js 18+
PostgreSQL 14+
Redis 7+
Rybbit Analytics API key
Eko AI API key

Installation

Clone and install dependencies:

npm install

Configure environment variables:

cp .env.example .env
# Edit .env with your API keys and configuration

Start services with Docker:

docker-compose up -d

Run database migrations:

cd backend
npm run migrate

Start development servers:

# Terminal 1 - Backend API
cd backend
npm run dev

# Terminal 2 - Frontend Dashboard
cd frontend
npm run dev

# Terminal 3 - SDK (if developing)
cd sdk
npm run dev

Access

Dashboard: http://localhost:3000
API: http://localhost:8080
API Docs: http://localhost:8080/api/docs

Core Components

Backend API (`/backend`)

Node.js + Express server with:

RESTful API endpoints
PostgreSQL database integration
Redis caching layer
Rybbit Analytics integration
Eko AI agent integration
Authentication & authorization
Rate limiting
Monitoring & logging

Key Endpoints:

POST /api/v1/segment - Classify visitor segment
POST /api/v1/content/generate - Generate personalized content
GET /api/v1/content/:segmentId - Fetch cached content
GET /api/v1/analytics/dashboard - Dashboard metrics
POST /api/v1/segments/custom - Create custom segment

Frontend Dashboard (`/frontend`)

React + TypeScript dashboard with:

Real-time analytics visualization
Segment configuration interface
Content template management
Brand voice settings
A/B test management
Performance metrics

Tech Stack:

React 18 + TypeScript
Tailwind CSS
Recharts for analytics
React Query for data fetching
Zustand for state management

JavaScript SDK (`/sdk`)

Lightweight SDK for website integration:

Automatic visitor tracking
Real-time segmentation
Content injection
Event tracking
< 50KB gzipped

Installation:

<script src="https://cdn.echo.ai/sdk/v1/echo.js"></script>
<script>
  Echo.init({
    apiKey: 'YOUR_API_KEY',
    autoTrack: true
  });
</script>

Shared Types (`/shared`)

TypeScript type definitions shared across all packages:

API request/response types
Segment definitions
Content types
Analytics event types

Environment Variables

# Backend API
NODE_ENV=development
PORT=8080
DATABASE_URL=postgresql://user:pass@localhost:5432/echo
REDIS_URL=redis://localhost:6379

# Rybbit Integration
RYBBIT_API_KEY=your_rybbit_api_key
RYBBIT_API_URL=https://api.rybbit.com/v1

# Eko AI Integration
EKO_API_KEY=your_eko_api_key
EKO_API_URL=https://api.eko.ai/v1

# OpenAI Fallback
OPENAI_API_KEY=your_openai_api_key

# Security
JWT_SECRET=your_jwt_secret
API_RATE_LIMIT=1000

# Monitoring
DATADOG_API_KEY=your_datadog_key
SENTRY_DSN=your_sentry_dsn

# Frontend
VITE_API_URL=http://localhost:8080

Performance Requirements

API Response Time:
- Cached content: < 100ms (p95)
- Generated content: < 3s (p95)
Uptime: 99.9% SLA
Concurrent Users: 10K simultaneous sessions
Cache Hit Rate: > 90%
Content Generation: 100 req/s throughput

Pre-built Segments

Echo includes 4 pre-built behavioral segments:

High Intent: Engaged visitors with high page views, returning users
Researcher: Long session times, documentation/resource pages
Price Sensitive: Pricing page visits, comparison pages
Feature Explorer: Product page views, demo requests

API Authentication

All API requests require authentication via API key:

curl -H "X-API-Key: your_api_key" \
     https://api.echo.ai/v1/segment

Development

Running Tests

# Backend tests
cd backend
npm test

# Frontend tests
cd frontend
npm test

# SDK tests
cd sdk
npm test

# All tests
npm test

Code Quality

# Linting
npm run lint

# Type checking
npm run type-check

# Format code
npm run format

Building for Production

# Build all packages
npm run build

# Build specific package
cd backend && npm run build
cd frontend && npm run build
cd sdk && npm run build

Deployment

Docker

# Build images
docker-compose build

# Deploy
docker-compose up -d

# View logs
docker-compose logs -f

AWS (Production)

Backend API: AWS Lambda + API Gateway
Frontend: S3 + CloudFront CDN
Database: RDS PostgreSQL
Cache: ElastiCache Redis
Monitoring: CloudWatch + Datadog

Monitoring & Observability

Metrics: Datadog dashboards
Errors: Sentry error tracking
Logs: CloudWatch Logs
Uptime: Pingdom monitoring
Analytics: Custom dashboard in frontend

Security

HTTPS/TLS 1.3 for all connections
API Key authentication with role-based access
Rate Limiting: 1000 req/hour per API key
GDPR/CCPA compliant data handling
PII: Never stored in logs
Security Headers: CORS, CSP, HSTS

Contributing

Create feature branch from main
Make changes with tests
Run npm test and npm run lint
Submit pull request
Await code review

Support

Documentation: https://docs.echo.ai
Issues: https://github.com/echo/echo/issues
Email: support@echo.ai

License

Roadmap

Phase 1 (Months 1-3): MVP

Phase 2 (Months 4-6): Market Fit

Multi-page personalization flows
Advanced segment builder
A/B testing framework
Scale to 5,000 users

Phase 3 (Months 7-12): Scale

Predictive segmentation (ML)
Content marketplace
Mobile SDK
Enterprise features

Success Metrics

Activation: < 10 min to first personalization
Performance: 20-40% conversion improvement
Retention: 60%+ month-6 retention
Growth: 20%+ MoM growth

Built with: Node.js, React, TypeScript, PostgreSQL, Redis, Rybbit, Eko AI

Last Updated: October 20, 2025

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
backend		backend
frontend		frontend
sdk		sdk
shared		shared
.env.example		.env.example
.gitignore		.gitignore
IMPLEMENTATION.md		IMPLEMENTATION.md
QUICKSTART.md		QUICKSTART.md
README.md		README.md
docker-compose.yml		docker-compose.yml
package.json		package.json

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Echo - AI-Powered Personalization Engine

Overview

Key Features

Architecture

Project Structure

Quick Start

Prerequisites

Installation

Access

Core Components

Backend API (/backend)

Frontend Dashboard (/frontend)

JavaScript SDK (/sdk)

Shared Types (/shared)

Environment Variables

Performance Requirements

Pre-built Segments

API Authentication

Development

Running Tests

Code Quality

Building for Production

Deployment

Docker

AWS (Production)

Monitoring & Observability

Security

Contributing

Support

License

Roadmap

Phase 1 (Months 1-3): MVP

Phase 2 (Months 4-6): Market Fit

Phase 3 (Months 7-12): Scale

Success Metrics

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