Tool-and-Die Thinking for the AI Age
How AI coding tools helped me beat the overhead wall — and build faster than I think.
From Fear to Flow: How Building a Tournament Manager App Taught Me to Scale with AI
I didn’t start with a strategy. I started with fear. Here’s how a grassroots volleyball app turned into my personal AI bootcamp—and the repeatable framework I built along the way.
The Lost‑Phone Test for AI: Could Your Org Still Function Tomorrow?
Dropped phone, lost life. Same test applies to corporate AI: if your copilots vanished tomorrow, would work even slow down? The “Lost-Phone Test” exposes integration gaps and makes the case for a Chief Intelligence Officer to weave tools into real workflows.
You’re Sending Self-Driving Cars Down Unmarked Roads
AI doesn’t fail because it’s bad — it fails because your data lacks the infrastructure it needs to navigate. Language models don’t just search — they interpret. Most orgs haven’t built for that.
The Machine Loom
If humans are the loom, AI is the thread—fast, abundant, and increasingly tangled.
Grid-Level Thinking Wasn't the Plan
This wasn’t meant to be a thought leadership series. It started as a phone call—and a question: Where does AI actually help, right now, for real? I’m Not Hyping AI. I’m Just Using It.
Power Without Purpose Is Just a Bill.
Post 4 of 4 in the Grid-Level Thinking series—why using AI for real work has changed how I design systems, think about leverage, and clarify what actually matters.