A domain-specific language lets a model say more in fewer tokens — a shared codebook the engine expands. This measures exactly how much: for a suite of real tasks, it compares the compact DSL against the engine's verbose target and against the agent doing it freestyle — and reports the compression, the cost per task, and whether quality held.