AI Engineering
A Model Evaluation Playbook for Real Work
Evaluation becomes useful when test cases represent business consequences, difficult edge cases and the way users actually interact with a system.
Generic benchmarks help compare foundations, but product teams need tests connected to their users, policies and failure costs.
Build a living evaluation set
Start with real tasks, add known failures, label severity and review the set whenever the product or source data changes.
