AltSportsLeagues.ai - Complete Platform Specifications

AltSportsLeagues.ai is an AI-powered business intelligence platform that transforms alternative sports leagues into data-driven, revenue-generating ecosystems. Our mission is to democratize sports analytics by providing comprehensive intelligence, partnership opportunities, and technological infrastructure for emerging sports leagues worldwide.

🎯 Platform Mission

Transforming Alternative Sports Through Intelligence

We bridge the gap between league operations and betting market demands through:

• Intelligent Partnership Matching: AI-driven analysis of league characteristics, market potential, and betting operator requirements
• Automated Contract Generation: Dynamic contract creation based on league profiles and market positioning
• Real-time Business Intelligence: Continuous monitoring of partnership performance and market opportunities
• Alternative Sports Focus: Specialized expertise in emerging sports leagues and non-traditional betting markets

💼 Business Model

Intelligence-as-a-Service (IaaS)

• League Intelligence Platform: Subscription-based access to comprehensive league analytics
• Partnership Marketplace: Commission-based revenue from facilitated partnerships
• Data Licensing: Premium data feeds and insights for media and betting platforms
• Technology Licensing: White-label solutions for league operators

Market Size: $2.3T global sports economy, with alternative sports representing $180B untapped opportunity

🏗️ Technical Architecture

Dual-Database Strategy

• Supabase: Real-time operational data with PostgreSQL, Realtime subscriptions, and Row Level Security
• Firebase: Scalable analytics with Firestore, Cloud Functions, and ML Kit

AI-Powered Analysis Pipeline

• League Intelligence: Comprehensive league profiling and market analysis
• Partnership Scoring: Multi-dimensional scoring algorithm for partnership opportunities
• Risk Assessment: Automated due diligence and performance prediction
• Contract Generation: Dynamic contract templates with e-signature integration

🎯 Perfect Partnership: Leagues + Sportsbooks

AltSportsLeagues.ai creates the perfect marriage between emerging sports leagues and betting operators:

For New Leagues (Onboarding)

• Zero Technical Barrier: Simple questionnaire-based onboarding process
• Instant Market Access: Automated partnership matching with betting operators
• Revenue Optimization: AI-driven pricing and contract recommendations
• Data-Driven Growth: Comprehensive analytics for league development
• Professional Support: End-to-end partnership management

For Sportsbooks (Market Expansion)

• New League Discovery: Automated identification of emerging sports opportunities
• Risk Assessment: AI-powered due diligence and performance prediction
• Contract Automation: Streamlined partnership agreements and terms
• Market Intelligence: Real-time insights into alternative sports trends
• Competitive Advantage: Early access to untapped sports markets

📋 Complete Specification Suite

🔧 Technical Platform Specifications

Comprehensive technical documentation for all platform components:

• Backend API & MCP Integration - FastAPI backend with MCP server integration
• Email Intelligence Pipeline - AI-powered email processing system
• Document Processing & OCR - AI-powered document ingestion pipeline
• League Partnership Acquisition Pipeline - 4-stage intelligent pipeline for league partnerships
• Data Layer & Schema Registry - Comprehensive data layer with 150+ Pydantic schemas
• Frontend Next.js Application - Production-ready Next.js 16 application
• League NotebookLM + Contract Studio - Role-based league partnership management system
• Contract Generation System - Automated contract and proposal generation
• Deployment & Infrastructure - Production-ready deployment infrastructure

🎯 Business Intelligence & Atlassian Integration

Real-world business documentation built from actual Jira implementation:

• Executive Summary - Executive overview with key findings and recommendations
• Business Intelligence - Comprehensive analysis of league partnerships
• League Partnership Pipeline - Complete Jira-based pipeline system
• League Onboarding Workflow - Detailed process requirements for league onboarding
• Email Intelligence System - AI-powered email processing and classification

📊 Claude AI Integration Patterns

Advanced AI implementation following Claude's principles:

• Retrieval-First Architecture: Claude-inspired approach to knowledge management
• Constitutional AI Framework: Ethical AI implementation for business applications
• Multi-Agent Orchestration: Intelligent agent coordination patterns
• Pattern Recognition Systems: Automated business pattern identification

📖 Specification Structure

Each specification follows the standardized Kiro pattern:

Requirements Document (requirements.md)

• EARS (Easy Approach to Requirements Syntax) format
• User stories and acceptance criteria
• Functional and non-functional requirements
• Business rules and constraints

Design Document (design.md)

• High-level architecture diagrams (Mermaid)
• Component design and data models
• API design and integration patterns
• Testing strategy and performance optimization
• Security considerations and deployment configuration

Tasks Document (tasks.md)

• Phased implementation approach
• Detailed task breakdowns with estimates
• Dependencies and implementation checklists
• Status tracking and progress monitoring

🏗️ Implementation Intelligence

Claude AI Integration

Our platform incorporates Claude's advanced reasoning patterns:

Specification Methodology

Each specification follows the Kiro three-file pattern:

📋 Requirements Document (requirements.md)

• EARS Format: Easy Approach to Requirements Syntax
• User Stories: "As a [role], I want [feature], so that [benefit]"
• Acceptance Criteria: Concrete, testable conditions
• Business Rules: Domain-specific constraints and validations

🏗️ Design Document (design.md)

• Architecture Diagrams: Mermaid visualizations
• Component Design: Detailed implementation patterns
• API Specifications: REST/GraphQL endpoint definitions
• Data Models: Schema definitions and relationships
• Security Architecture: Authentication and authorization patterns

✅ Tasks Document (tasks.md)

• Phased Approach: Implementation broken into logical phases
• Dependency Mapping: Task relationships and prerequisites
• Effort Estimation: Time and complexity assessments
• Status Tracking: Progress monitoring and completion criteria

🚀 Getting Started Guides

For New League Operators

1. Start Here: League Onboarding Workflow
2. Understand Value: Executive Summary
3. Technical Onboarding: Frontend Next.js Application

For Sportsbook Operators

1. Market Intelligence: Business Intelligence
2. Partnership Pipeline: League Partnership Pipeline
3. Integration Options: Backend API & MCP Integration

For Technical Teams

1. System Architecture: Backend API & MCP Integration
2. Data Models: Data Layer & Schema Registry
3. Deployment: Deployment & Infrastructure

📊 Implementation Roadmap

Total Platform Effort: 142-182 days (5-6 months)

🏗️ Architecture Overview

📚 Documentation Standards

Requirements Format

All requirements use the EARS (Easy Approach to Requirements Syntax) format:

### Requirement N
 
**User Story:** As a [role], I want [feature], so that [benefit].
 
#### Acceptance Criteria
 
1. WHEN [condition], THE [system] SHALL [behavior]
2. WHEN [condition], THE [system] SHALL [behavior]
3. IF [condition], THEN THE [system] SHALL [behavior]

Design Documentation

Each design document includes:

• Executive Summary
• High-Level Architecture (Mermaid diagrams)
• Component Design (detailed implementation)
• Data Models and API Design
• Testing Strategy and Performance Optimization
• Security Considerations and Deployment Configuration

Task Organization

Tasks are organized into phases:

• Phase 1: Foundation
• Phase 2: Core Features
• Phase 3: Integration
• Phase 4: Testing & Quality
• Phase 5: Deployment

🔗 Quick Links

• Kiro Specs README - Original specification documentation
• Atlassian Integration README - Business and technical documentation overview
• Project Architecture - High-level system architecture
• API Documentation - Technical API reference