Articles

I have been obsessively testing AI tools and writing about what actually works, what is overhyped, and what founders should pay attention to.

In “Is Claude Opus 4.5 Worth the Hype?,” I broke down whether the latest model lives up to the buzz. I keep coming back to questions like this because the AI space moves fast and most of the commentary is surface-level.

“42 High ROI AI Use Cases by Category” is one that got a big response. I spent a year testing tools and found 42 specific use cases that deliver real return on investment. Putting that list together forced me to separate what sounds cool from what actually saves time and money.

Then there is “What I Have Learned Building in AI.” Six months ago I started building what I call McKinsey for AI, and the lessons have been humbling and specific.

I also wrote “Stop Playing AI on Hard Mode,” about how most companies approach AI implementation backward, chasing flashy products instead of practical adoption.

With 13 posts and counting, this section keeps growing as the field does.