Tree of Thought extends chain-of-thought prompting by structuring reasoning as a tree rather than a single chain. At each step, the model generates multiple candidate next-thoughts, evaluates them, and prunes unpromising branches — mimicking breadth-first or depth-first search. This enables deliberate planning and backtracking on complex problems where linear reasoning often fails.