August 2026 Summaries

Ori Eval is a tool designed to assist developers in selecting the most suitable AI model for their applications by systematically evaluating models against specific requirements without the need for prior eval writing experience. It simplifies the process by scanning the codebase to identify where models are used, asking developers about their priorities such as cost, performance, or speed, and then conducting evaluations using the latest models that meet these criteria. The tool generates an eval file that runs tests to verify model performance and catches potential regressions, ensuring that the model behaves as expected within the application's environment. Ori Eval is integrated with OpenRouter, enabling comprehensive model comparisons across different labs, and it automates the process of evaluating new models as they are released. This tool is particularly useful for maintaining optimal AI functionality in applications, as it allows developers to focus on coding while Ori Eval handles the complexity of model evaluation and selection.