Algorithms

Module 5 · Section 1 of 6

You’ve probably heard that AI is “thinking” or “understanding” your requests. That framing sounds helpful, but it leads you somewhere unhelpful: you start expecting judgment, intuition, and common sense. When AI gives you something useless, you blame the tool instead of the instructions.

Here’s the more accurate picture: AI runs algorithms. An algorithm is just a step-by-step process for getting from an input to an output. Given these inputs, follow these steps, produce this result. No interpretation. No judgment calls. No reading between the lines.

That changes how you work with it.

When you expect judgment, you write vague prompts and hope the AI fills in the gaps. When you understand you’re dealing with an algorithm, you get specific. You define the inputs. You describe the steps. You specify what a good output looks like. You stop asking for magic and start writing better instructions.

The professionals who get the most out of AI aren’t the ones who found a secret trick. They’re the ones who stopped treating AI as a thinking partner and started treating it as a very capable, very literal process executor.

This module is about building that mental model — through stories that make the logic stick.