August 19, 2026
Everyone Routes Around It: Why Your “Impossible” Step Deserves a Retest
Every company has a step it calls manual and stopped questioning years ago. The capability moved since then. The belief didn’t. Here’s how to find yours.
Read →Insights
Practical, no-hype notes on using AI to move the numbers that matter.
August 19, 2026
Chasing Speed Breeds Fragility: How to Measure AI Success
The shrimp industry chased faster, bigger, more fragile animals. Selecting for survival took mine from 15% to over 90%. That’s how to measure AI success, too.
Read →August 12, 2026
You’re Funding the Wrong Half of Your AI Budget
Most AI budgets go to the half that demos well, while the half that would actually move a number gets nothing. A federal seafood office made the same mistake.
Read →August 5, 2026
Who Should Run Your AI Project? Not the Person Picking the Tool.
The tool is never what makes an AI project work. What shipping live shrimp broodstock across borders taught me about who should actually be running yours.
Read →July 29, 2026
We Need Action, Not More Studies: The Cost of Waiting on AI
A federal agency answered a seafood crisis with more studies. Companies do the same with AI. Here’s how to price the cost of waiting on AI and make the call.
Read →July 27, 2026
Are You Investing in AI, or Gambling on It?
Most companies can’t tell the difference between an AI investment and an AI gamble. An investment pays even when it’s small. A bet only pays if everything goes right.
Read →July 22, 2026
Vibrio Is the Result, Not the Cause: Why AI Won’t Fix a Broken Process
A farmer’s shrimp kept dying of Vibrio. We killed it — they died anyway. Vibrio was the symptom, not the cause. Most “AI problems” are the same trap.
Read →July 21, 2026
The $4.8 Million Mistake That Taught Me to Fear the Word “Help”
I took $4.8M in government “help” and it nearly strangled a profitable company. The same trap is waiting in most enterprise AI deals — here’s how to spot it.
Read →July 21, 2026
The Shrimp Heads: Where Your Real AI ROI Is Hiding
Everyone assumed the shrimp farm would put the local fishermen out of business. The opposite happened — and the reason is the same place your best AI return is hiding.
Read →July 21, 2026
Do You Need an AI Strategy? You Need One Win First.
Most “AI strategies” are an expensive way to avoid shipping anything. Here’s the operator’s alternative: find one win, prove the number, then let it fund the rest.
Read →July 4, 2026
What a Failing Shrimp Farm Taught Me About AI Projects
For two years I spent over $1M fighting the wrong problem. The lesson from that shrimp farm is the one I bring to every AI project that isn't paying off.
Read →July 4, 2026
Faster Horses: The Trap of Chasing the Newest AI Model
Henry Ford didn't build a faster horse. Chasing the newest AI model is the same trap — here's what to optimize instead.
Read →July 4, 2026
AI Doesn't Have a Tool Problem. It Has an Execution Problem.
Most failed AI isn't a technology gap — it's an execution gap. The lesson comes from an industry that had the better product and still lost.
Read →July 4, 2026
The $3 Fix: The Obvious Automation Nobody Builds
The best AI ROI is usually boring and obvious — the automation everyone can see and nobody bothers to build. Here's how to find yours.
Read →July 4, 2026
Deployable AI vs. Moonshot AI: Ship What Works Now
The AI that helps your business this quarter already exists. Chasing the moonshot version means shipping nothing. Choose deployable.
Read →July 4, 2026
Where AI Is Actually Headed for Your Business (No Hype)
I'm genuinely excited about where AI is going — and that's exactly why I tell clients to ignore most of it. The honest big picture.
Read →July 4, 2026
The Real ROI of AI Is Killing Your Process Drag
The biggest AI payoff usually isn't a fancy model — it's removing the process friction quietly draining hours and dollars every week.
Read →July 3, 2026
How to Find Your First AI Use Case (Without Wasting Money)
Most companies shop for AI backwards — tool first, problem later. Here's the operator's process for finding the one use case that pays for itself.
Read →