One of the first things you notice when working with AI agents is this: they don’t behave the same way twice. You can give the same instruction, run it again, and get slightly different results. Sometimes the structure changes. Sometimes the steps are reordered. Sometimes the outcome itself shifts just enough to matter. At first, this feels like a bug. But it isn’t. It’s how these systems work. Still, when you’re building something that depends on reliability, this variability becomes a problem. You don’t just want a good answer — you want a repeatable one. So a natural idea comes up: what if we guide the AI more strictly? Instead of writing open-ended prompts, what if we give it pseudocode to follow? Would that make it consistent? At a glance, it seems like it should. Pseudocode is structured. It defines steps clearly. It removes ambiguity. It looks closer to something a machine should execute precisely. And compared to loose prompts, it does help.…