Tips for setting the scene, or writing the brief, before diving in to solve a problem with AI.

Successful GenAI projects skip the hype and focus on measurement—track your starting point, target tedious tasks, and set realistic timelines for seeing actual returns.

From a recent report, only about one-fifth of organizations are seeing returns from an AI implementation. Is the technology a house of cards about to fall down? Or is there a problem with how it’s being rolled out?

Ever notice how AI is sold to companies versus how it's received by the people actually expected to use it? There's a fundamental disconnect here that I want to explore.

Writing without AI feels slow and inefficient.

But, writing with AI doesn't always give us the results we want—it can be bland, bloated, and overly enthusiastic.

The question I explore in this article is how do you find the AI sweet spot for writing?