Blog Articles & Videos

If you've used ChatGPT, Claude, or any large language model for more than a few minutes, you've probably experienced this: the AI gives you an answer that sounds perfect. But is it?

If you've been using ChatGPT, Claude, or any large language model lately, you've probably noticed something: em dashes are everywhere.

Most people use AI the hard way. They ask a question. The AI gives a mediocre answer. They ask again, slightly differently. The AI gets a little closer. After three or four attempts, they finally get something usable. It doesn't have to be this way.

Here's the reality: if you can't prompt effectively, you'll be at a disadvantage. You'll get worse outputs. You'll spend more time iterating. You'll miss opportunities that others (who know how to use AI well) will capitalize on instantly.

When working with ChatGPT (or any AI model) one of the most overlooked ways to sharpen results is also one of the simplest: using Markdown.