Where Engineers Should Work to Future-Proof Their Careers
Every engineer I speak to is worried about th…
Articles
AI
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.
How One Marketer Created 40 Facebook Ads, 100 Landing Pages, and Booked 4 Podcasts in a Single Day
This guy made 40 Facebook ads, 100 landing pa…
Half of Marketing Teams Will Be Rewriting Their AI Messaging in 12 Months
I’m calling it now. In 12 months, half …
How I Built a 17-Slide Partnership Deck in Under 10 Minutes with Claude Code
I just had Claude Code build me a 17-slide pa…
A Finance Exec’s AI Transformation: From 2-Week Models to 2 Hours
I spoke to the Head of Finance for a Series B…
How to Make Studio-Quality Videos Using AI Tools
I have discovered something incredible that&#…
The 26 Biggest AI Frustrations Every Founder Faces
This AI cycle is both amazing and highly frus…
Introducing Distro: The First AI Content Strategist
I’m excited to announce Distro, the fir…
"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.