Build against a real need
The work starts with something that must function in the real world, not a technology looking for a reason to exist.
About Anthony
I came to AI from the worksite, not the lab.
That changes the questions I ask, the way I build and how much proof I need before I trust the answer.
The short version
I’m Anthony. I’m 55.
I spent about 25 years in construction painting, mostly high-rise. I came to AI without a conventional technology background and learned it the way I learned practical work: by using the tools, finding the failure points and checking the finish.
I work largely through voice dictation. That makes plain language, strong memory and visible proof more than design preferences. They are the difference between a system I can run and one that only looks impressive.
Today I build and test practical AI systems, write about what those systems do to human judgement and publish the parts that can stand in public.
The thread through itI write books and build practical systems. I share what works, what fails and where a human must remain accountable.
Test where it can fail
A useful test checks the hard edges: stale facts, false confidence, broken handoffs and claims nobody can reproduce.
Show what is proved
The result should leave a page, a file, a publication record or another proof path a person can inspect.
Current public work
Writing, systems and AI tested against reality.
The clearest place to begin is The Invisible Code, my published paperback about AI sycophancy, truth and the cost of being told what you want to hear.
Contact
Write to Anthony directly.
For a genuine question about the book, the work or a public collaboration.