Replace the Current Character Rating System

The current five-star rating system for characters isn't working. The stars have no defined criteria, so ratings are entirely subjective and meaningless for comparison. The comment section often yields unconstructive feedback, participation is extremely low — most characters sit at zero ratings, and the few that do almost always show five stars — telling users nothing and giving creators no actionable signal.

I'd suggest replacing the entire system with Netflix's proven three-tier thumbs model: thumbs down means "not for me" and signals the algorithm to stop recommending similar characters; thumbs up means "I liked this"; and double thumbs up means "I loved this — show me more like it." The key distinction is that thumbs down isn't a quality judgment — it's a taste signal, which removes the social pressure of leaving a negative review and encourages honest feedback. Netflix saw 200% more ratings after switching from stars to thumbs precisely because it's fast, frictionless, and requires no deliberation.

Applied to Venice.AI, this would generate far more participation data to power meaningful "Most Liked" rankings, personalized character recommendations with match percentages, and useful aggregate taste-profile feedback for creators — all while being simpler for users than the current system that almost nobody uses.

Thank you for considering this suggestion.