Rethinking AI Agent Evaluation: How Hex Built Its Testing Lab for Data Analytics

Data analytics presents uniquely difficult challenges for AI agents—with silent bugs, impossible-to-verify answers, and out-of-distribution data warehouses making evaluation notoriously complex. Hex's newly detailed evaluation infrastructure reveals a critical insight: agent performance depends far more on the richness of accessible context stores than on model choice or system prompts. This reframes how enterprises should approach AI agent development in real-world analytical environments.