THE DEATH OF MODEL.FIT(): WHAT DATA SCIENTISTS ACTUALLY DO IN THE AGE OF AI AGENTS

Summary from the TLDR Dev newsletter

In agentic AI systems, data scientists don't train models. Rather, they own the evaluation infrastructure that keeps agent behavior measurable and improvable. That means building error taxonomies from production traces, maintaining golden datasets of real user inputs, calibrating LLM-as-judge against human raters, and gating deploys with deterministic schema checks.