sequential-thinking

To break down complex ambiguous problems for iterative planning, use an ordered reflection process that sequences thoughts, filters relevance across steps, and validates hypotheses until a coherent stopping point is reached.

Ordered iterative reflection for problem-solving workflows is a structured technique that decomposes large tasks into numbered steps, supports branching when new insights emerge, and maintains coherent multi-step context throughout.

You validate hypotheses step-by-step during architecture design by generating numbered thoughts sequentially, revising earlier thoughts as needed, and applying relevance filtering until all assumptions are tested and satisfied.

Yes, you can revise earlier thoughts and branch out during multi-step context tasks, because the iterative reflection process explicitly supports continuous refinement and branching when new insights emerge across sequential steps.

Yes, iterative planning requires a correct completion signal to stop, which is triggered by setting a final nextThoughtNeeded flag after reaching a validated stopping point within the estimated totalThoughts.

You should use sequential decomposition for deep analysis tasks when facing unclear requirements that demand step-by-step exploration, assumption-driven validation, and continuous refinement to reach coherent decisions.