New capability: interpretable and pedagogical examples in model outputs

AI Impact Summary

New capability to generate interpretable, pedagogical examples alongside model outputs enables clearer reasoning traces and reusable teaching prompts for developers and end-users. This can accelerate onboarding, improve trust, and support debugging or compliance evidence, especially in educational or customer-support contexts. Expect higher token consumption and potential prompts needing structure to ensure explanations stay accurate and safe; teams should update prompt templates and evaluation criteria to quantify interpretability gains.