Least-to-most prompting

Least-to-most prompting is a technique that first asks a language model to break a hard problem into simpler subproblems, then solves them in order, feeding each answer into the next step.

Least-to-most prompting sits in the Prompting & context part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.