The real work of building AI Agents is in the planning. I recommend becoming a business analyst of your own work—not to give it all away to AI, but to figure out where you want it to focus.

Passive AI consumption isn't learning. This post explores how to create the right conditions to actually master new skills.

Instead of building an entire AI agent org chart, start with one annoying process. Here's my framework for deciding what to automate.

I use AI, but cautiously, while being as intentional as I can about where I bring AI into my life—because ignoring something speeding out of the train station generally makes the problem worse later.

Learning to swim as an adult taught me something unexpected about the future of corporate training. After struggling through fear, frustration, and countless failed attempts, I realized what no AI could have given me, and what many organizations are missing in their approach to employee development.

And does it even matter?

Short answer: Yes and yes.

Long answer: It's complicated.

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?

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?