Enterprise-grade backend system for a CEO communication platform that enables voice-driven task and channel management. The system is designed for a single organization with high-performance requirements, complex relationship management, and seamless real-time collaboration.
- Ultra-fast voice processing (<2 seconds end-to-end)
- Multi-action voice commands (execute multiple operations from single command)
- Complex relationship mapping (channels, tasks, dependencies, shared resources)
- Real-time synchronization across all connected clients
- Intelligent context management with organizational memory
- Advanced AI agent with learning capabilities
WebRTC Stream → Edge Processing → Whisper Turbo → GPT-4 Turbo → Action Execution
Target: <2 second end-to-end processing
- Real-time Audio Streaming: WebRTC with 16kHz sampling
- Edge Pre-processing: Voice Activity Detection, noise reduction
- Whisper Turbo API: Parallel processing with chunking
- Streaming Response: Partial results while processing
- Connection Pooling: Pre-warmed API connections
- Channel Categories: Marketing, Operations, Finance, HR, etc.
- Task Dependencies: BLOCKS, REQUIRES, FOLLOWS, PARALLEL
- Resource Sharing: Documents, files, links between channels/tasks
- Channel Relationships: PARENT_CHILD, COLLABORATIVE, SEQUENTIAL
-- Core Entities
Categories (id, name, description, color, icon, priority_level)
Channels (id, name, category_id, created_by, channel_type, status, metadata)
Tasks (id, title, description, channel_id, parent_task_id, priority, complexity, assigned_to[])
TaskDependencies (task_id, depends_on_task_id, dependency_type)
SharedResources (id, name, type, content, metadata)
ResourceLinks (resource_id, entity_type, entity_id, link_type)
ChannelRelationships (channel_id, related_channel_id, relationship_type)interface VoiceCommand {
transcript: string;
actions: Action[];
context: CommandContext;
executionPlan: ExecutionStep[];
}
interface Action {
type: 'CREATE_CHANNEL' | 'CREATE_TASK' | 'ASSIGN_USER' | 'UPLOAD_FILE' |
'SEND_MESSAGE' | 'SET_DEADLINE' | 'CREATE_DEPENDENCY' | 'SHARE_RESOURCE';
parameters: Record<string, any>;
conditions?: string[];
priority: number;
}"Create a marketing channel for Q1 campaign, add Sarah and Mike,
create three tasks: content creation due next Friday,
social media strategy due Wednesday, and budget review due tomorrow.
Make the budget review block the other two tasks.
Also upload the brand guidelines document to this channel."
- Dependency Resolution: Automatic ordering based on task dependencies
- Parallel Execution: Non-dependent actions run simultaneously
- Rollback Support: If any action fails, rollback completed actions
- Progress Streaming: Real-time feedback during execution
Redis Streams + Socket.IO + Database Triggers + Push Notifications
- Voice Command Events: Command received, processing, completed
- Entity Events: Task created/updated, channel modified, user assigned
- Relationship Events: Dependencies added, resources shared
- System Events: Reminders, deadlines, status changes
- Live Command Execution: Staff see tasks appearing as CEO speaks
- Instant Notifications: Assignments, updates, reminders
- Collaborative Updates: Multiple users editing simultaneously
- Presence Indicators: Who's online, viewing, working on what
-- User Management
Users (
id UUID PRIMARY KEY,
email VARCHAR UNIQUE,
name VARCHAR,
role ENUM('ceo', 'manager', 'staff'),
avatar_url VARCHAR,
language_preference VARCHAR DEFAULT 'en',
timezone VARCHAR,
notification_settings JSONB,
last_active TIMESTAMP,
created_at TIMESTAMP
);
-- Category System
Categories (
id UUID PRIMARY KEY,
name VARCHAR NOT NULL,
description TEXT,
color VARCHAR(7),
icon VARCHAR,
priority_level INTEGER DEFAULT 1,
created_by UUID REFERENCES Users(id),
created_at TIMESTAMP
);
-- Advanced Channel System
Channels (
id UUID PRIMARY KEY,
name VARCHAR NOT NULL,
description TEXT,
category_id UUID REFERENCES Categories(id),
created_by UUID REFERENCES Users(id),
channel_type ENUM('project', 'department', 'initiative', 'temporary'),
privacy_level ENUM('public', 'private', 'restricted'),
status ENUM('active', 'archived', 'paused'),
metadata JSONB,
created_at TIMESTAMP,
archived_at TIMESTAMP
);
-- Complex Task System
Tasks (
id UUID PRIMARY KEY,
title VARCHAR NOT NULL,
description TEXT,
channel_id UUID REFERENCES Channels(id),
parent_task_id UUID REFERENCES Tasks(id),
created_by UUID REFERENCES Users(id),
assigned_to UUID[] DEFAULT '{}',
priority ENUM('low', 'medium', 'high', 'urgent', 'critical'),
status ENUM('pending', 'in_progress', 'review', 'completed', 'cancelled'),
complexity INTEGER DEFAULT 1,
estimated_hours INTEGER,
actual_hours INTEGER,
due_date TIMESTAMP,
completed_at TIMESTAMP,
tags VARCHAR[],
metadata JSONB,
created_at TIMESTAMP
);
-- Task Dependencies
TaskDependencies (
id UUID PRIMARY KEY,
task_id UUID REFERENCES Tasks(id),
depends_on_task_id UUID REFERENCES Tasks(id),
dependency_type ENUM('blocks', 'requires', 'follows', 'parallel'),
created_at TIMESTAMP,
UNIQUE(task_id, depends_on_task_id)
);
-- Shared Resources
SharedResources (
id UUID PRIMARY KEY,
name VARCHAR NOT NULL,
description TEXT,
resource_type ENUM('document', 'link', 'image', 'video', 'template'),
content_url VARCHAR,
content_data JSONB,
file_size INTEGER,
mime_type VARCHAR,
uploaded_by UUID REFERENCES Users(id),
metadata JSONB,
created_at TIMESTAMP
);
-- Resource Links
ResourceLinks (
id UUID PRIMARY KEY,
resource_id UUID REFERENCES SharedResources(id),
entity_type ENUM('channel', 'task', 'category'),
entity_id UUID,
link_type ENUM('attachment', 'reference', 'template', 'requirement'),
created_by UUID REFERENCES Users(id),
created_at TIMESTAMP
);
-- Channel Relationships
ChannelRelationships (
id UUID PRIMARY KEY,
channel_id UUID REFERENCES Channels(id),
related_channel_id UUID REFERENCES Channels(id),
relationship_type ENUM('parent_child', 'collaborative', 'sequential', 'competitive'),
metadata JSONB,
created_at TIMESTAMP
);
-- Voice Commands History
VoiceCommands (
id UUID PRIMARY KEY,
user_id UUID REFERENCES Users(id),
transcript TEXT NOT NULL,
processed_transcript TEXT,
intent_analysis JSONB,
actions_planned JSONB,
actions_executed JSONB,
execution_status ENUM('pending', 'processing', 'completed', 'failed', 'partial'),
processing_time_ms INTEGER,
error_details JSONB,
created_at TIMESTAMP
);
-- Advanced Messaging
Messages (
id UUID PRIMARY KEY,
channel_id UUID REFERENCES Channels(id),
task_id UUID REFERENCES Tasks(id),
user_id UUID REFERENCES Users(id),
content TEXT,
message_type ENUM('text', 'voice', 'file', 'system', 'command_result'),
metadata JSONB,
reply_to UUID REFERENCES Messages(id),
edited_at TIMESTAMP,
deleted_at TIMESTAMP,
created_at TIMESTAMP
);
-- Notifications System
Notifications (
id UUID PRIMARY KEY,
user_id UUID REFERENCES Users(id),
title VARCHAR NOT NULL,
content TEXT,
type ENUM('task_assigned', 'deadline_reminder', 'channel_invite', 'task_completed', 'system'),
entity_type ENUM('task', 'channel', 'message', 'system'),
entity_id UUID,
priority ENUM('low', 'medium', 'high', 'urgent'),
read_at TIMESTAMP,
scheduled_for TIMESTAMP,
sent_at TIMESTAMP,
metadata JSONB,
created_at TIMESTAMP
);CREATE INDEX idx_tasks_assigned_to ON Tasks USING GIN(assigned_to);
CREATE INDEX idx_tasks_channel_status ON Tasks(channel_id, status);
CREATE INDEX idx_messages_channel_created ON Messages(channel_id, created_at);
CREATE INDEX idx_notifications_user_unread ON Notifications(user_id) WHERE read_at IS NULL;interface ContextManager {
conversationHistory: VoiceCommand[];
activeChannels: Channel[];
recentTasks: Task[];
userPreferences: UserProfile;
organizationContext: OrgContext;
temporalContext: TimeContext;
}
interface SmartReferences {
pronounResolution: Record<string, EntityReference>; // "this", "that", "it"
implicitEntities: EntityReference[]; // "the marketing team", "this project"
contextualDefaults: DefaultValues; // default assignees, priorities
}- Smart Entity Resolution: "Add this to the marketing project" → resolves current context
- Temporal Intelligence: "next week", "by Friday", "before the meeting"
- Role-Based Defaults: Auto-assign based on channel type and past patterns
- Conversation Memory: References to previous commands in same session
class ExecutiveAIAgent {
// Long-term memory systems
organizationalKnowledge: OrgKnowledgeBase;
behavioralPatterns: UserBehaviorModel;
projectHistory: ProjectHistoryDB;
// Intelligent features
async processVoiceCommand(audio: AudioStream): Promise<ExecutionPlan> {
const transcript = await this.speechToText(audio);
const context = await this.buildContext();
const intent = await this.analyzeIntent(transcript, context);
const plan = await this.createExecutionPlan(intent);
return plan;
}
async learnFromInteraction(command: VoiceCommand, feedback: UserFeedback) {
// Continuous learning from CEO preferences
}
}- Predictive Task Creation: "I think we need to prepare for the board meeting" → suggests related tasks
- Smart Scheduling: Learns CEO's schedule patterns and optimal times
- Proactive Reminders: Identifies potential issues before they become problems
- Pattern Recognition: "You usually assign marketing tasks to Sarah, should I do that now?"
const optimizations = {
// Database
connectionPooling: 'PostgreSQL connection pools with read replicas',
queryOptimization: 'Materialized views for complex relationships',
caching: 'Redis multi-layer caching (L1: memory, L2: Redis)',
// API Performance
apiCaching: 'Aggressive caching with smart invalidation',
compressionGzip: 'Response compression',
cdnIntegration: 'Static asset CDN',
// Voice Processing
preWarmedConnections: 'Keep Whisper API connections warm',
parallelProcessing: 'Concurrent API calls for complex commands',
streamingResponse: 'Partial results while processing',
edgeComputing: 'Voice preprocessing at edge nodes'
};- Voice-to-Action: <2 seconds for simple commands, <5 seconds for complex
- Real-time Updates: <100ms latency for live updates
- File Uploads: Parallel chunked uploads with progress tracking
- Database Queries: <50ms for common operations
interface ExecutiveDashboard {
teamPerformance: TeamMetrics;
projectProgress: ProjectInsights;
communicationPatterns: CommInsights;
voiceCommandAnalytics: VoiceMetrics;
predictiveInsights: PredictiveAnalytics;
}
interface TeamMetrics {
taskCompletionRates: UserPerformance[];
responseTimeAnalytics: ResponseMetrics;
workloadDistribution: WorkloadAnalysis;
collaborationPatterns: CollabMetrics;
}- Voice Command Intelligence: Most used commands, success rates, optimization suggestions
- Team Performance Insights: Who's overloaded, who's available, skill matching
- Project Health Monitoring: Risk prediction, deadline analysis, resource allocation
- Communication Efficiency: Response times, engagement levels, bottleneck identification
- Runtime: Node.js 20+ with TypeScript
- Framework: Fastify (faster than Express) with plugins
- Database: PostgreSQL 15+ with read replicas
- Cache: Redis Cluster with persistence
- Search: ElasticSearch for advanced search capabilities
- Speech-to-Text: OpenAI Whisper Turbo API
- LLM: GPT-4 Turbo for intent analysis and command processing
- Text-to-Speech: ElevenLabs for voice responses
- Voice Enhancement: Azure Cognitive Services for noise reduction
- WebSocket: Socket.IO with Redis adapter
- Message Queue: Bull Queue with Redis
- Push Notifications: Firebase Cloud Messaging
- File Storage: AWS S3 with CloudFront CDN
- Hosting: AWS ECS Fargate with auto-scaling
- Load Balancer: Application Load Balancer with health checks
- Monitoring: DataDog for APM + custom executive dashboard
- Security: JWT with refresh tokens, rate limiting, input validation
- i18n Framework: Built-in support for Spanish/English
- Content Translation: Azure Translator for dynamic content
- Voice Models: Language-specific Whisper models
-
Database Setup
- PostgreSQL installation and configuration
- Complete schema creation with all relationships
- Performance indexes and constraints
- Database migrations system
-
Authentication & User Management
- JWT-based authentication system
- Role-based access control (CEO, Manager, Staff)
- User profile management
- Session management
-
Basic API Infrastructure
- Fastify server setup with TypeScript
- Basic CRUD endpoints for all entities
- Input validation and error handling
- API documentation with Swagger
-
Real-time Infrastructure
- Socket.IO setup with Redis adapter
- Basic WebSocket event system
- Connection management
- Real-time presence tracking
-
Voice Processing Pipeline
- Whisper API integration
- Audio stream handling with WebRTC
- Speech-to-text processing
- Voice command logging system
-
Basic AI Agent
- OpenAI GPT-4 integration
- Intent recognition system
- Simple command parsing
- Basic action execution
-
Simple Command Execution
- Single-action command processing
- Basic entity creation (channels, tasks)
- User assignment functionality
- Command result feedback
-
File Upload System
- AWS S3 integration
- Chunked file upload support
- File metadata management
- CDN integration for fast delivery
-
Complex Multi-Action Commands
- Multi-step command parsing
- Dependency resolution engine
- Parallel action execution
- Transaction rollback support
-
Context Management System
- Conversation history tracking
- Smart entity resolution
- Temporal context understanding
- Default value inference
-
Advanced Relationship Mapping
- Task dependency management
- Channel relationship system
- Resource sharing between entities
- Complex query optimization
-
Performance Optimizations
- Redis caching implementation
- Database query optimization
- API response compression
- Connection pooling
-
Predictive Analytics
- Team performance analytics
- Project health monitoring
- Workload distribution analysis
- Risk prediction algorithms
-
Learning Algorithms
- User behavior pattern recognition
- Command optimization suggestions
- Predictive task creation
- Smart scheduling recommendations
-
Executive Dashboard
- Real-time team performance metrics
- Project progress visualization
- Communication pattern analysis
- Voice command analytics
-
Advanced Notification System
- Intelligent reminder scheduling
- Priority-based notification routing
- Multi-channel notification delivery
- Notification preference learning
- Complete backend architecture design
- Database schema with all relationships
- Technology stack selection
- Performance optimization strategy
- Implementation roadmap
- Set up development environment
- Initialize Node.js project with TypeScript
- Set up PostgreSQL database
- Implement basic authentication system
- Create core API endpoints
- Node.js 20+
- PostgreSQL 15+
- Redis 7+
- AWS Account (for S3, CloudFront)
- OpenAI API Key
- ElevenLabs API Key (optional)
# Database
DATABASE_URL=postgresql://user:password@localhost:5432/ceo_platform
REDIS_URL=redis://localhost:6379
# AI Services
OPENAI_API_KEY=sk-...
ELEVENLABS_API_KEY=...
# AWS
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_S3_BUCKET=ceo-platform-files
# App
JWT_SECRET=...
NODE_ENV=development
PORT=3000# 1. Set up database
createdb ceo_platform
npm run db:migrate
# 2. Install dependencies
npm install
# 3. Start development server
npm run dev
# 4. Run tests
npm testOnce implemented, the API will include:
- Authentication:
/api/auth/* - Users:
/api/users/* - Channels:
/api/channels/* - Tasks:
/api/tasks/* - Voice Commands:
/api/voice/* - Files:
/api/files/* - Analytics:
/api/analytics/* - WebSocket Events: Real-time updates and notifications
- Input Validation: All voice commands and API inputs validated
- Rate Limiting: Prevent abuse of voice processing endpoints
- Data Encryption: All sensitive data encrypted at rest and in transit
- Access Control: Strict role-based permissions
- Audit Logging: Complete audit trail of all actions
- API Security: JWT tokens, CORS, HTTPS enforcement
- Horizontal Scaling: Stateless API servers with load balancing
- Database Scaling: Read replicas and connection pooling
- Cache Scaling: Redis cluster for high availability
- File Storage: CDN for global file delivery
- Monitoring: Comprehensive application and infrastructure monitoring
This architecture provides a complete, enterprise-grade solution designed for speed, reliability, and the complex requirements of executive-level communication management.