The most overlooked example of AI use case isn’t writing code or generating content — it’s translating what you notice into language the right expert can finally act on.
A common example of an AI use case is coding, automation, or complex workflows — that is what people usually picture. This isn’t that kind of example.
My articles had vanished. Not deleted—vanished.
The links led nowhere. The search returned nothing. As a result, I had no way to know whether the Forem platform had moved them, hidden them, or simply broken them.
So I asked Claude ai for help.
At first, the goal was simple: find the missing articles.
But as we started tracing URLs and comparing results, a pattern began to emerge.
In fact, the problem wasn’t limited to a few missing pages.
Instead, something appeared to be wrong with the way non-DEV subforem content was being handled after the migration.
When One AI Use Case Example Revealed a Bigger Issue
And this is where it got weird.
The issue wasn’t mine anymore. It was clinical. Technical. Correct in ways I couldn’t have made it on my own.
Here’s the language that eventually appeared in the GitHub issue:
- ERR_TOO_MANY_REDIRECTS
- redirect loop
- dashboard/API inconsistency
- reproduction steps
- web routing
- API listings
Those terms—redirect loops, routing problems, inconsistencies—weren’t vocabulary I had learned from watching the symptoms.
In other words, they were the names for what I had observed.
A Vocabulary I Didn’t Have
I don’t know Ruby.
I don’t know Rails.
And I certainly don’t work on platform infrastructure.
Yet there I was, opening a GitHub issue that read like it came from someone who did.
One part of the report stood out even more:
“The post records and bodies are intact in the database — only the web routing and the API/dashboard listing for non-DEV-subforem posts is broken.”
Even so, that’s not a sentence I could have written on my own.
How I fixed Forem
A few days later, the Forem team fixed the issue, and as a result, the articles became accessible again.
The experience changed the way I think about AI.
Most discussions focus on finding the best AI writing tools or the best AI coding tools.
However, this was different.
An AI Use Case Example: AI as a Translator Between Users and Engineers
It turns out that one of AI’s most valuable skills isn’t generating content.
It’s translating expertise—turning a user’s observations into a language that specialists can act on.
And it might be AI’s most underrated superpower.
I don’t need AI to replace expertise.
I need it to help me communicate with expertise.
And once you see this example of an AI use case for what it really is, you start seeing it everywhere.
Want More Than One Example of AI Use Case?
Once you spot it, AI turns up in places most people never label “AI.” Robot mowers map and cut a lawn with onboard AI vision. TVs upscale and tune the picture frame by frame. Smart glasses answer a question before you finish asking it. In short, each one is an everyday example of AI use case hiding in ordinary hardware. Browse our AI hardware reviews to see how many of the devices around you are already running it.
Frequently Asked Questions:
What is a real-world example of AI use case?
A clear example of AI use case is invisible. When my published articles vanished after a platform migration, I couldn’t name the bug. Instead, I could only describe the symptoms. AI then took those raw observations and translated them. The result was a precise, engineer-ready report — redirect loops, routing inconsistencies, API mismatches — that the developers could act on and fix.
What are the most common AI use cases?
The most common AI use cases are writing, coding, content generation, automation, and data analysis. However, plenty of high-value uses get overlooked. For example, AI can articulate a problem clearly, summarize a complex situation, or bridge the gap between a non-expert and the specialist who can solve it.
What can AI do besides writing and coding?
Beyond writing and coding, AI can act as a translator of expertise — turning what you observe into language a specialist understands. It can draft a clear bug report, explain a medical or legal document in plain terms, or help you ask the right question. That communication role is one of the most underrated examples of AI use case in everyday life.
What are some everyday examples of AI people don’t notice?
Everyday examples of AI people rarely notice are mostly in hardware. For instance, robot lawn mowers navigate by AI vision. TVs use AI to upscale and optimize the picture in real time. Smart glasses even run a proactive AI assistant. Each is a real example of AI use case running quietly in the background — explored across our AI hardware reviews.
What are good examples of AI for non-technical users?
Good examples of AI for non-technical users are easy to find. For instance, AI can describe a technical problem, draft a support ticket, simplify jargon, or translate between what a user needs and what an expert delivers. You don’t need to know the terminology — AI supplies it, which is exactly the example of AI use case at the heart of this article.
