Instead of solving a large task in a single prompt, prompt chaining splits it into clearly defined sub-steps, for example first research, then outline, then write. Each step can be checked and optimized separately, which reduces errors. The technique is the foundation of many AI workflows and agent pipelines. It is especially suited to multi-step processes where intermediate results matter.
