How We Score AI Writing Quality: Building an Objective Comparison Framework

How We Score AI Writing Quality: Building an Objective Comparison Framework Rating writing quality is subjective. Ask 10 people to rank five pieces and you'll get 10 different lists. Yet we built a framework for objectively comparing AI writing tools . Here's how, with all the uncomfortable compromises. The Core Problem How do you measure something as fuzzy as "good writing"? Traditional approaches: Expert panels (expensive, biased) User votes (popularity ≠ quality) Readability scores (ignores nuance) Grammar checkers (catches errors but not excellence) None work alone. You need a hybrid model. Our Scoring Dimensions We evaluate across six dimensions, each with measurable criteria: interface WritingScore { clarity : number ; // 0-100 relevance : number ; // 0-100 originality : number ; // 0-100 tone : number ; // 0-100 structure : number ; // 0-100 accuracy : number ; // 0-100 weightedTotal : number ; // Final score } Dimension 1: Clarity (Weight: 20%) Clarity isn't just readability. I