New AI Runtimes Expose Decision Logic and Confidence Scores to Developers

Two AI runtimes, Jev (TypeSafe System One) and Laya, are designed to surface not just model outputs but the underlying decision structure, including options considered, selection rules, and confidence scores. Unlike conventional model outputs, this typed decision format makes results testable and auditable, allowing developers to identify flawed rules or route low-confidence cases to human reviewers. Both runtimes can be run locally, shortening the development feedback loop by eliminating the need to send prompts to external services. Laya supports CoreML and MLX builds for Apple silicon, and documentation including API notes and setup guides is available at jev001.org. The tools are positioned as replacements for complex if-statement logic in tasks like routing, tagging, and ranking, rather than as full application substitutes.