Building AI Workflows: Input → Processing → Output

You design reusable AI workflows for recurring tasks.

Why this lesson matters

So far you've used AI for separate tasks: writing an email, building a formula, summarising a document. Handy, but the real productivity gain comes when you link tasks together into a workflow.

An AI workflow is a repeatable process: same input, same steps, same output. Every week, every month. Your only job left is checking the result.

What is an AI workflow?

A workflow has three parts:

  1. 1Input, the data or information that comes in
  2. 2Processing, what AI does with it (the prompt chain)
  3. 3Output, the end result in the right format

The difference from a single prompt: a workflow has several steps that build on each other. The output of step 1 is the input of step 2.

Going deeper

A prompt chain is a series of prompts that build on each other. Instead of one mega-prompt that has to do everything at once, you split the job into smaller, focused steps. Each step does one thing well.

Steps to build a workflow

Step 1: Define the input

What comes in? Be specific:

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