Scenario Adds Quality Gate for AI Images

Quality Gate turns visual QA from an exhausting manual bottleneck into a measurable production step, though it flags problems rather than blocking bad generations.

• –Separates brand-fit scoring from artifact detection, catching both off-brand palettes and malformed anatomy
• –Uses brand briefs and reference images to evaluate consistency across teams and projects
• –Provides reasons, suggested fixes, sensitivity levels, and analytics instead of opaque pass/fail judgments
• –API access makes it useful for studios and agencies building automated generation pipelines
• –Its biggest limitation is scope: it scores images only and never stops generation, while checks add separate compute costs