Most AI content tells youwhat's possible.We show you exactly what to do.
Use Cases of AI is a workflow tutorial library for knowledge workers — starting with designers, built for the people doing the actual work.
We run every workflow ourselves
Every Usecase on this platform is tested before it is published
Before anything gets published, we execute the full workflow — in a real tool, with realistic project data. If a step breaks or a prompt produces weak output, we fix it. What you read is what actually works.
Every tutorial ships with a downloadable .md workflow file. It is the step-by-step you keep, adapt, and reuse in your own projects. The article explains the thinking. The file is what you open on Monday morning.
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Every screenshot in a tutorial is from an actual run — not mocked up, not stock. You see exactly what the UI looks like at each step, so you are never guessing where to click.
Why we built this
The gap between “AI can do this” and “here is exactly how” is where most people get stuck. That is the gap we are closing.
Why we built this
Newsletters. YouTube videos, blog posts — they show you what AI is capable of. They rarely show you the actual prompt, the exact workflow, or what a finished output looks like. Not what was worth fixing.
Real work needs real examples.
Every tutorial here is built around a task a designer actually does — synthesising research, writing UI copy, auditing for accessibility. Not hypothetical scenarios. Not demo projects. Work you recognise because you did something like it last week.
This is just the beginning.
We started with designers. Each month, a new role joins the library — product managers, developers, content designers, and more. The goal is a workflow resource that covers every knowledge worker using AI to do serious work.
Have questions, suggestions, or want to collaborate?
You can also share a usecase.