We implement a multistage, computational pipeline to design de novo miniproteins (binders or standalone) with high confidence in folding, stability, and compatibility with glycosylated targets. Starting from generative design, we apply successive physical and biological realism filters, culminating in explicit molecular dynamics–based validation to ensure robust structural behavior under realistic conditions. This overall pipeline balances the creative power of modern generative AI with rigorous classical biophysical and structural-biology validation, to yield “wet-lab–ready” miniproteins optimized for expression, stability, and functional testing.