Tokens Are Dev Hours. Waste Is a Feature, Not a Bug.
With AI development, waste isn’t hidden in team velocity or burndown charts — it’s itemized on your invoice. That’s not a flaw. It’s a feature.
The AI Engineer Has Joined the Team. Now What?
AI isn’t just accelerating software development — it’s reorganizing it. This post unpacks what changes when you start designing teams, tools, and processes around a human–AI hybrid model. Planning shifts. Costs shift. Roles shift. The real question is: are we ready to shift with it?
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.
My AI Engineering Team
I didn’t set out to build an AI team. I just started with ChatGPT prompts for Lovable AI. Over time, it evolved into managing a layered squad of AI tools—architects, coders, and reviewers—working together like a real dev team. This changed how I work and lead AI-assisted projects.
Getting Unstuck: Why We Start With a Sketch
Projects stall when we confuse blockers with priorities. This post explores the “desk-building” metaphor to help teams stop over-planning and start making progress — by sketching first, sorting screws later.
The Risk of Asking “Do You Smell That?” When There’s No Fire
In consulting, sensing a problem feels like smelling smoke. But is there really a fire? This piece explores when to speak up and when to hold back — balancing risk detection with protecting people from blame. Leadership is often about navigating that tension with care.
Still Your Car. Still Your Wrench.
What AI Coding Tools Don’t Tell You About Building Real Software