Decomposed prompting breaks tasks into modular components and assigns them to appropriate handlers. Unlike simple step-by-step reasoning, decomposed prompting may route different subtasks to different models, tools, or specialized prompts.
This technique enables complex workflows where each component can be optimized independently.