Eval-driven development: Build better AI faster

Vercel champions eval-driven development for AI-native software creation, using evaluations to assess AI output quality against defined criteria. This replaces traditional testing methods unsuitable for AI's unpredictable nature. Evals include code-based grading, human judgment, and AI-assisted grading, similar to how search engines improved over time. Vercel's AI product v0 employs this method, enabling rapid iteration and improvement based on real-world feedback. The company views this approach as essential for harnessing AI's potential while maintaining quality and user-centric design.