A small experiment for choosing an agent workflow

Before building an AI agent for an everyday problem, sketch two different workflows. One might use a single agent with tools; another could split the task into stages with checkpoints.

Then choose one tiny test: define the input, the desired output, and one likely failure case. That makes it easier to see whether the extra orchestration helps—and where refinement is worth the effort.

What everyday task would you try this with?