Many people play strategy games against computer opponents, but don't have a clear understanding of how they function. Building your own Deep Blue is a formidable challenge, but is perhaps a good way to learn the computer science and mathematics of decision making. Since most people aren't computer scientists, they need a way to describe game strategies so they can be executed by a computer they can play against. This research features a graphic toolkit for designing strategy-games and computer opponents, tailored to support learning artificial intelligence techniques for deciding which next moves are better than others. The demonstration of the toolkit is complemented by initial results of a study of how kids articulate their strategies and modify them after seeing their effect on game play.