Several studies have illuminated how processing manual action verbs (MaVs) affects the programming or execution of concurrent hand movements. Here, to circumvent key confounds in extant designs, we conducted the first assessment of motorâlanguage integration during handwritingâa task in which linguistic and motoric processes are coâsubstantiated. Participants copied MaVs, nonâmanual action verbs, and nonâaction verbs as we collected measures of motor programming and motor execution. Programming latencies were similar across conditions, but execution was faster for MaVs than for the other categories, regardless of whether word meanings were accessed implicitly or explicitly. In line with the HandâActionâNetwork Dynamic Language Embodiment (HANDLE) model, such findings suggest that effectorâcongruent verbs can prime manual movements even during highly automatized tasks in which motoric and verbal processes are naturally intertwined. Our paradigm opens new avenues for fineâgrained explorations of embodied language processes.