Perspectives
Ideas, frameworks, hard-fought lessons, and opinions on applied AI, data, tech and growth. These are not hot takes. They are informed positions and observations shaped by building and learning alongside the very best.
Spin the Wheel: The Ground Reality of Rushed Applied AI
A two-day vibe-coded prototype proves an idea can be built. Three asks that decide whether an established business should run on it.
A Baseline for AI Fluency: Your Business, Your Team, Yourself
A three-lens, evidence-first baseline for where you, your team, and your business actually stand on AI. A single score hides the gap that decides whether AI creates value.
Applied AI, On Your Terms
Every vendor in your stack now sells applied AI, model labs included. Four moves that keep the design of the whole with you.
Who Does Your AI Agent Actually Work For?
Four parties compete for an agent's loyalty, and the user ranks last. Why the companies that commit to the principal user will win the agentic era.
Two Arguments About Vertical Software in an Agent World. Both Are Right.
Aaron Levie of Box says vertical software is about to be more valuable. Gradient Ventures says SaaS moats are decaying. Both arguments are correct. Here is why.
Why Most Businesses Will Get Their AI Investment Thesis Wrong
The three mistakes businesses keep making, and the four questions a credible AI thesis must answer.
The AI Playbook Is Not a Tech Playbook
Why the companies winning at AI are investing in culture, talent, and patience, not just models and infrastructure.
From Hotel Lobby to Applied Data & AI: What 20 Years Taught Me
Five career chapters, five inflection points, and one constant: the human experience is everything.
