# Management of AI Products - Demo Catalog

## Overview
This catalog organizes demos for managing AI products throughout their lifecycle.

## Product Discovery & Planning

### Feature Prioritization
- `TechUseCaseDemos\QFDDemo` - Quality Function Deployment for feature prioritization
- `TechUseCaseDemos\AIFeatureImpact` - Prioritize features by business impact

### Product Canvas
- `TechUseCaseDemos\AIProductCanvas` - AI product planning tool

## Risk & Resource Management

### Risk Assessment
- `TechUseCaseDemos\AIRiskCalculator` - Assess technical, operational, and compliance risks

### Resource Planning
- `TechUseCaseDemos\AIResourcePlanner` - Estimate compute resources and costs
- `TechUseCaseDemos\AIROICalculator` - AI project ROI estimation

## Model & Data Management

### Model Registry
- `TechUseCaseDemos\MLModelRegistry` - Version and track ML models

### Data Quality
- `TechUseCaseDemos\DataDriftDetector` - Monitor input data distribution changes

## Performance & Monitoring

### Performance Dashboard
- `TechUseCaseDemos\AIPerformanceDashboard` - Monitor model metrics and KPIs

## Team & Governance

### Team Collaboration
- `TechUseCaseDemos\AITeamCollaboration` - RACI matrix for AI projects

### Governance
- `TechUseCaseDemos\AIGovernanceScorecard` - Assess AI ethics and compliance

### Decision Tracking
- `TechUseCaseDemos\AIDecisionTracker` - Log and review AI product decisions

### Regulatory Compliance
- `TechUseCaseDemos\AIRegulatoryTracker` - Track compliance requirements and deadlines

## New Demos

### Product Requirements
- `TechUseCaseDemos\AIPRDTemplate` - Structured template for AI-specific requirements (data, model, ethical considerations)

### Model Comparison
- `TechUseCaseDemos\ModelVersionComparator` - Compare model versions side-by-side with metrics

### Financial Analysis
- `TechUseCaseDemos\AICostBenefitAnalyzer` - Financial modeling for AI investments (ROI, payback)

### Quantitative Finance (Advanced)
- `TechUseCaseDemos\CounterpartyRiskDemo` - CVA/DVA calculations for counterparty risk
- `TechUseCaseDemos\BondPricingDemo` - Bond pricing with duration calculations
- `TechUseCaseDemos\OptionPricingDemo` - Black-Scholes European option pricing
- `TechUseCaseDemos\MonteCarloOptions` - Monte Carlo simulation for exotic options
- `TechUseCaseDemos\RiskParityPortfolio` - Risk parity portfolio construction
- `TechUseCaseDemos\VaRCalculator` - VaR and Expected Shortfall calculations
- `TechUseCaseDemos\GreeksCalculator` - Delta, Gamma, Vega, Theta sensitivity analysis

### RAG Solutions
- `TechUseCaseDemos\RAGSolutions` - Multiple RAG architectures with voice support
  - Standard RAG, Graph RAG, PageIndex RAG
  - Voice-enabled variants for all three

### Document Processing (New!)
- `TechUseCaseDemos\LiteParseDemo` - PDF-to-markdown conversion for RAG workflows
  - LiteParse integration for document processing
  - Markdown output for intelligent document analysis
  - Q&A over documents demonstration

### Emotional Support AI
- `TechUseCaseDemos\EmotionalSupportAssistant` - AI companion for loneliness support
  - Emotion detection and knowledge graph building
  - Empathetic responses with voice support

### AI Strategy
- `DomainUseCaseDemos\AIStrategy\FinTechRoadmap001` - Strategic planning tool for AI product lifecycle

### Compliance
- `DomainUseCaseDemos\Compliance\AlertTriage001` - Prioritize regulatory alerts by severity and deadline

## AI-Enriched Workflows (Most Memorable!)

### Workflow Transformation Showcase
- `TechUseCaseDemos\AIWorkflowDemo` - Compare traditional vs AI-enriched workflows
  - Demonstrates natural language understanding vs keyword search
  - Shows personalized recommendations vs static ranking
  - Interactive prompt experimentation for students
  - Key learning: Value of embedded AI in business processes

### Content & Data Analysis
- `TechUseCaseDemos\AIContentSummarizer` - Traditional vs AI-powered content summarization
  - Toggle AI on/off to compare approaches
  - Custom prompts for different summary styles
  - Experience abstractive vs extractive summarization

- `TechUseCaseDemos\AIDataAnalyzer` - Traditional vs AI-powered data analysis
  - Toggle AI on/off to compare statistical vs narrative insights
  - Select analysis focus (trends, anomalies, insights, forecast)
  - Experience prompt-driven data interpretation

### Probabilistic AI
- `TechUseCaseDemos\ProbabilisticDecisionEngine` - Amortized inference for probabilistic AI
  - Real-time predictions with uncertainty quantification
  - Change assumptions and queries instantly
  - Healthcare decision support demonstration

### Agentic UI Control
- `TechUseCaseDemos\AIPageAgent` - In-page agent that reads a UI as text and acts on it
  - Observe-decide-act-result loop, inspired by the [page-agent](https://github.com/alibaba/page-agent) library's text/DOM-grounding pattern (no screenshots, no vision model)
  - Rule-based command parser stands in for an LLM call, so it runs with zero setup and no API key
  - Human-in-the-loop guardrail toggle for destructive actions
  - Build-vs-buy framework comparison against Stagehand, browser-use, and Nanobrowser — all three need a backend, API key, or extension install that a static classroom demo can't provide, which is itself the teaching point