Building an AI Tool Comparison Platform: Data Architecture and Scoring System

Building an AI Tool Comparison Platform: Data Architecture and Scoring System Building a comparison platform for AI tools seems simple: show features side-by-side, done. Except it's not. You need to handle constantly changing products, subjective quality assessments, and user-specific preferences. Here's the architecture that actually works. Core Data Model interface Tool { id : string ; name : string ; category : ' email ' | ' content ' | ' social ' | ' analytics ' | ' personalization ' ; pricing : PricingModel ; features : Feature []; metrics : ToolMetrics ; lastUpdated : Date ; dataSource : ' api ' | ' manual ' | ' user_report ' ; } interface Feature { id : string ; name : string ; category : ' core ' | ' integration ' | ' analytics ' | ' automation ' ; availability : ' free ' | ' starter ' | ' pro ' | ' enterprise ' ; description : string ; verified : boolean ; } interface ToolMetrics { avgRating : number ; reviewCount : number ; adoptionScore : number ; pricePerformanceRatio : num