A New Book by John D. Segars
A practitioner's guide to the one thing AI cannot replace — the hard-won field knowledge that makes the difference between a tool that helps and a mistake that quietly becomes a decision.
A practitioner's guide to the one thing AI cannot replace — the hard-won field knowledge that makes the difference between a tool that helps and a mistake that quietly becomes a decision.
I am not a programmer. I never have been. For most of my career that felt like a ceiling I couldn't quite reach past.
I'm a GIS analyst at a regional university in North Georgia. My job is managing the spatial data infrastructure that tells our institution where its buildings are, how its rooms are numbered, who occupies which space, and how all of that connects across five campuses — 3.6 million square feet of building space spread across 1,347 acres. One person. No team.
I've worked across multiple fields for most of my career — always as the person responsible for making complex systems actually work. And still, when I hit a wall at ten o'clock at night with a problem that wouldn't solve and a deadline that wouldn't move, my options were grim. Wait days for a support response. Hope that someone on a forum had the exact same problem years ago and got a useful answer. Read through documentation that assumed you already knew things you didn't.
That isolation is real, and it has a cost. Not just in time — in what never gets built at all.
Then AI changed that. Not by replacing what I know. By meeting me exactly where I am.
The best analogy I've found is from construction. Before hydrovac excavation, if you needed to expose buried utilities you had two choices: hand dig with a shovel — slow, exhausting, and imprecise — or bring in a backhoe and risk destroying the very infrastructure you were trying to reach. Hydrovac isn't a perfect solution. It uses pressurized water and produces mud. It has its own complications. But it is faster, safer, and more efficient than what came before — and critically, it still requires a skilled operator who understands the process.
AI is the hydrovac. You're the operator. And the operator understands the process — because he knows what mistakes cost.
This guide is for anyone who wonders about AI, can't afford to ignore it any longer, or works with it every day and isn't sure they're doing it right.
Every field has a version of the same story: a capable professional, a confident AI output, and a quiet error that only someone with real experience would have caught. The machine didn't know what it didn't know. The practitioner did.
This is not a book about whether AI is good or bad. It's a book about what you bring to the table that no model can — and how to hold onto it as the pressure to defer grows stronger.
"You can rent a backhoe. You can buy one. What you cannot purchase is thirty years of knowing what the ground feels like when the blade hits something it shouldn't."
Drawing on thirty years of hands-on practice across multiple industries, John Segars makes the case for the irreplaceable value of what you already know — and gives practitioners the language to defend it, use it, and pass it on.
Starting out in a world where AI tools are already assumed. Learn to build the expertise that makes you the check on the machine — not just its operator.
You already have what this book describes. This gives you the framework to recognize it, articulate it, and make sure it doesn't walk out the door when you do.
Building teams that will depend on AI outputs. Understand what institutional knowledge looks like, why it matters, and what you lose when it's gone.
Sign up and receive the opening chapter when the book launches — plus occasional essays on expertise, AI, and the practitioners who keep things honest.
No spam. Unsubscribe anytime. Your address stays with me.