Making AI predictable, boring, and safe enough to use at work
I help clients make AI more predictable through education. Not by chasing the newest tool, but by teaching people how to use what already exists in a way that fits real work, real constraints, and real security requirements.
As an MSP, I’ve spent years implementing AI products for clients because they were “the thing to do.” What I kept seeing was the same pattern: excitement up front, confusion shortly after, and disappointment when the results didn’t match expectations. The tools weren’t the problem. The lack of direction was.
No hype. No “AI magic.” Just practical material you can use, and corrections when reality inevitably wins.
Why I write the books
Most people are using AI like a glorified search engine. When the output doesn’t match what they expect, frustration followed quickly. In many cases, users quietly move sensitive or corporate work into free tools because no guidance exists internally.
What keeps breaking isn’t the technology. It is expectations.
What pushed me to write things down: security not being considered, unclear goals producing useless output, and teams blaming tools instead of fixing the setup.
Who this site is for
This site is primarily for owners and managers of small and mid-sized businesses who want to understand how AI fits into their operations without committing to large, expensive initiatives.
Most SMBs don’t have the budget or appetite for full-scale AI programs. They do, however, need guidance on proper use, basic security, and realistic expectations.
What you’ll find here
Books
What each book covers and how to use it.
Practical Notes
Occasional posts that support the books.
Newsletter
Updates plus one useful idea at a time.
My background (briefly, on purpose)
MSP Reality
Over a decade as a managed service provider, managing several thousand endpoints and supporting real-world environments across multiple industries.
Operational Design
Reducing user error with workflow design and automation that removes common failure points and saves time over manual processes.
Practical AI Usage
Guidance on safe, realistic AI use in business settings: expectations, security, and small goals that can be reviewed and improved.
What I’m strongest at
Securing AI for business use and providing training that helps clients reach small, practical goals without creating new risks.
Also: translating between business expectations and technical reality (because that’s where most failures start).
What I’m not claiming
I’m not claiming expertise in big AI projects, programming-heavy builds, model training, or cutting-edge ML research. If that’s what you need, I’ll tell you quickly.
A note for MSPs: Claritech
If you’re coming at this from the managed services side, my day job is with Claritech Solutions, an MSP that helps SMBs with end-to-end security and management.
Claritech is a fit for: MSP-scale operational questions, internal AI usage policies, workflow automation sanity checks, tool selection constraints, and security.
Not a fit for: random AI questions, speculative projects, or anything requiring guaranteed outcomes.
What this site is
This is the official home for the books, updates/errata, and occasional practical notes that support real-world use.
It’s intentionally not a template dump, not a prompt repository, and not a sales funnel dressed up as education.
Boundaries
No results guarantees. No revenue promises. No “AI transformation” claims. If something is context-dependent or uncertain, it’s treated that way.
Where to go next
If you’re here to understand AI well enough to use it responsibly at work, start with the books. Everything else exists to support them.