Unique challenges of fetal-brain MRI include successful acquisition of standard sagittal, coronal and axial views of the brain, as motion precludes acquisition of coherent orthogonal slice stacks. Technologists repeat scans numerous times by manually rotating slice prescriptions but inaccuracies in slice placement and intervening motion limit success. We propose a system to automatically prescribe slices based on the fetal-head pose as estimated by a neural network from a fast scout. The target sequence receives the head pose and acquires slices accordingly. We demonstrate automatic acquisition of standard anatomical views in-vivo.