Course 1: Model Selection and Evalsfeatured

Most AI product teams make the same expensive mistake: they choose models from benchmark tables and ship without a serious eval set. This course gives you the operating discipline to pick the right model for a real feature, defend the unit economics, and know when the system is getting better or worse.

Lessons

01Why Model Performance Is Not Product Value7 min 02The Model-Selection Ladder: Choose the Smallest Model That Clears the Bar7 min 03The Cost Gap Between Rungs -- and Why Frontier Defaults Kill Unit Economics7 min 04Building the Golden Eval Set -- Twelve Sharp Examples Beat Ten Thousand Fuzzy Ones7 min 05Eval as Regression Suite -- Gate Every Prompt and Index Change7 min 06Reading the 2026 Model Landscape6 min 07Vendor Lock-In, Fallback Chains, and Reversible Bets7 min 08Capstone -- Write the Model-Selection Memo and the Eval Doc for a Real Feature7 min

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