AI Model Evaluation Arena

 Build an interactive AI Model Evaluation Arena where users can compare multiple language models against the same real-world tasks. Allow users to define test cases, expected outcomes, scoring rubrics, and critical failure conditions. Run evaluations using configurable model adapters, compare accuracy, consistency, latency, and cost, and display side-by-side outputs. Include blind evaluation mode to reduce model-name bias, regression tracking across model versions, downloadable reports, and a leaderboard based on user-defined priorities. Never fabricate benchmark results; clearly distinguish simulated examples from actual API evaluations.