You do not need to code to create a useful AI workflow. A workflow is a repeatable sequence of steps where AI handles one or more of them.
Choose a small, repeated task
Good candidates are tasks you do often and that follow a pattern: summarizing meeting notes, drafting replies to common questions, or sorting feedback into themes.
Break it into steps
Write the process out plainly. For example: collect the notes, ask the AI for a summary and action items, review the output, and send it to the team. Decide which steps are automatic and which need your judgment.
Write a reusable prompt
Save a prompt that states the goal, format, and rules, so results are consistent each time. Include instructions such as "only use information in the notes" to reduce invented details.
Add a human checkpoint
Insert a review step before anything is sent or acted on. This catches mistakes early and builds trust in the process.
Test, then improve
Run the workflow on a few past examples and compare the output with what you would have written. Adjust the prompt and the steps until it is reliable.
Keep it modest
A small workflow that saves ten minutes reliably is more valuable than an ambitious one that needs constant repair.
Continue with the book
Explore the full treatment, worked examples, and exercises in AI Made Simple.
Adapted from AI Made Simple, published by Choral Software. Article text and original examples © 2026 Choral Software. All rights reserved.