A simple task — answering a direct question — can be handled in a single pass. A complex one — building a complete quote with a bill of materials, a material requirement and a margin — needs several linked steps, each depending on the result of the one before.
Breaking the task down
A multi-step agent tackles a complex task by breaking it into smaller, manageable steps: first gather the data needed, then work out the requirement, then propose a price, then ask for confirmation. Each step has a clear, checkable objective, rather than one leap from problem to solution.
Why this is more reliable than a single answer
By breaking the task down, every intermediate step can be checked — missing data, inconsistent sums — before moving on. A single pass attempting to solve everything at once offers no such checkpoints, and an early error propagates without being caught.
The role of memory during the process
Through a multi-step sequence the agent has to remember what it has done and what remains — not start again at every step. That continuity is what allows a complex task to be handled as a coherent process rather than a series of disconnected requests.