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Rubrics aren’t just for evaluation—they’re a blueprint for better data annotation. In this post, we explore how structured rubrics enable scalable, high-quality labeling and evaluation of GenAI systems. Learn how Snorkel and leading labs use rubrics to align human and automated judgment and accelerate trusted AI development.

In this post, we unpack how Snorkel built a realistic benchmark dataset to evaluate AI agents in commercial insurance underwriting. From expert-driven data design to multi-tool reasoning tasks, see how our approach surfaces actionable failure modes that generic benchmarks miss—revealing what it really takes to deploy AI in enterprise workflows.

In this post, we will show you a specialized benchmark dataset we developed with our expert network of Chartered Property and Casualty Underwriters (CPCUs). The benchmark uncovers several model-specific and actionable error modes, including basic tool use errors and a surprising number of insidious hallucinations from one provider. This is part of an ongoing series of benchmarks we are releasing across verticals…