$50 of AI Later: Lessons from Burning Credits Fast
AI credits vanished quickly, highlighting hidden costs and forcing clarity into my development process. Here's how a $50 investment turned into a practical blueprint for smarter AI‑assisted builds.
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.
Overnight Dev: From Rage-Quit to Release in 72 Hours—With AI Riding Shotgun
Burned-out coder to live app in one weekend: two failed scrapers, one hidden JSON API, and AI tools that scaffolded the rest. How DevTools + GPT turned AES volleyball data into an MVP—and why your next Jira ticket might build itself.
It’s Time for the CIO 2.0
Most AI conversations start in the wrong place — with tools, not capabilities. What’s missing isn’t another pilot. It’s a new executive role: someone to steward how your organization thinks, learns, and evolves.
From Shutdown to Speedrun
The Cost of Surviving the Age of Constant Upgrades
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.
ChatGPT Doesn’t Eat—So Why Do I Keep Asking It to Cook?
LLMs can draft the menu, but you still have to taste the sauce. Here’s my field-note recipe for closing the fidelity gap between what ChatGPT writes and what actually works.