Practical writing for owners and operators who have to make technology decisions without a degree in it. No buzzwords. No sales pitch dressed up as advice.
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Most people use AI to write, and that is the least interesting thing it can do. Six other jobs to hand it: paper to spreadsheet, equipment photos, your own numbers, contract checks, SOP interviews and tiny tools, with a prompt for each. With the video and full transcript.
The same ChatGPT request, run with and without context, gives one answer I would never post and one that sounds a lot more like me. What context is, why every assumption the AI makes is a potential error, and a context brief you can copy. With the video and full transcript.
What to rent, what to own, and when to just fix what you have. What AI changed about the cost of building, why buying an ERP rarely skips the build, six questions to ask before you build anything, and when custom is overkill. With the video and full transcript.
A business owner's freelance-built web app shipped with code hidden in a configuration file that let an outside party run commands on any machine that opened it. What we found, what nobody knows about how it got there, and seven ways to protect yourself when you hire a freelancer.
We built a client a way to stop carrying every promise in his head: he types them into Slack like a text, AI tracks them, and a summary shows up every morning. Why it lives where he already works, and why to build the system before you hire an assistant. With the video and full transcript.
Where the packaged systems genuinely win, what the spreadsheets sitting beside your ERP are telling you, how per-seat pricing changes as you grow, and the middle path most companies miss.
Every gap you leave in a prompt, the AI fills with a guess, and the guess is what makes the answer generic. The ice cream test, why this is a communication skill rather than an AI skill, and three questions that show you what it assumed. With the video and full transcript.
Where AI earns its keep in a manufacturing business and where it does not. Start where a wrong answer is cheap, keep it out of quoting, and write down what is safe to paste before someone pastes it.
I gave ChatGPT, Claude and Gemini the same software quote request twice each and got six prices from $42,000 to $128,000. The cheapest one included more than the $98,000 quote. Here's what that means for trusting AI with real decisions, with the video and the actual chats.
Most business owners spend more attention on their software than they should have to. Here's what it actually takes to stop thinking about it, and what usually goes wrong instead.
We checked a directory's top 10 software companies in Minnesota against those companies' own websites. Not one of the first three lists a Minnesota office. Here's how to verify where a development team actually sits.
Most advice answers this with a cost comparison. That's the wrong question. Here's the one that actually decides it, plus the third option almost nobody writes about.
Your MVP got customers and started falling apart. Here's how to tell which of the three failure modes you actually have, what to fix first, and whether you need an engineer, a fractional CTO, or nobody yet.
Should you fix your existing software or rebuild from scratch? Here's the math, the real failure rates, and a simple framework to make the call without guessing.
Your developer stopped responding. Here's exactly what to do in the first 48 hours to secure your code, protect your business, and figure out your next move.
Your systems work. Your business runs. But underneath, security vulnerabilities, broken integrations, and tribal knowledge are quietly compounding. Here's how to see what leadership usually misses.
Vibe coding is fast. It's also full of security holes, spaghetti architecture, and zero tests. Here's what actually goes wrong and how to fix it.
AI coding tools ship insecure code by default. Hardcoded API keys, missing auth, no input validation. Here's what to check and how to fix it.
Vibe coding gets you a prototype in hours. Traditional development gets you software that lasts. Here's when to use which and what the trade-offs actually are.
The role, the process week by week, what it costs, and how to know if your project needs one.
You started on a tool that worked. Then you bent your process around it, bought a second tool to cover the gap, and now half the team keeps a spreadsheet on the side.
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Where AI saves real time and money vs. where it's just an expensive demo. How to tell the two apart.
What to ask, what the warning signs look like, and why "who writes the code" is the most important question.
Nobody calls it "legacy" until it breaks. How to tell when your system has crossed from "fine" to liability.
You can't stop operations to replace the system. Here's how we run old and new side by side.
Why one quote is $15K and another is $150K. What drives the price. How to budget.
The real story behind the Academic Decathlon platform. What worked, what was hard, what we learned.
Clean data = higher valuation. What "data cleanup" actually means for a business owner.
Not anti-offshore. Just honest about the tradeoffs. When each makes sense.
What to do when you're stuck with broken software and no one to call.
The vet supply compliance story. How a real fix happened in one day.
AI changed the math. Building is faster than it used to be. But buying still makes sense sometimes.
Launch isn't the finish line. Why the relationship matters more than the project.
The questions we ask every client before we scope anything. Use them with any vendor.