Eval Protocol is an open standard for AI evaluation that helps developers build better AI products through robust testing and iteration. Most AI evaluation frameworks are proprietary or organization-specific, leading to:
  • Duplicated evaluation code across teams
  • Inconsistent benchmarking standards
  • Limited access to proven evaluation methodologies
  • Slow iteration cycles without community feedback
Our protocol standardizes AI evaluation, enabling you to:
  • Share and reuse evaluation logic across projects
  • Benchmark against established baselines
  • Iterate faster with community-driven improvements
  • Build reproducible evaluation pipelines
  • Access evaluation tools used by production AI systems
Join #eval-protocol on Discord to discuss implementations, share evaluation strategies, and contribute to the standard.