Harnessing cross-linguistic similarity is an efficient pathway to durable vocabulary acquisition. A custom GPT can algorithmically surface Spanish–English cognates and near-cognates, map morphological families (prefixes/suffixes), and propose semantically adjacent terms across Romance languages (and beyond), thereby creating dense lexical neighborhoods that strengthen retrieval via spaced, meaningful contrast. In practice, the model (1) detects etymological lineages and phonological shifts (-ción → -tion), (2) clusters related lemmas (e.g., conducir, conductor, conducción), and (3) generates minimal-pair prompts to reduce interference while maximizing discriminability. This targeted feedback—paired with short, retrieval-based drills—supports rapid form-meaning mapping and transfer from prior L2/L3 knowledge. Try the tool here: Spanish Cognate Finder.