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The Invisible Code
What happens when AI is better at keeping you pleased than keeping you close to the truth?
162 pages5.25 × 8 inchesASIN B0H9HV48NT
The published catalogue
Six books. Two different doors into the work.
The Invisible Code examines AI, truth and human judgement. The five Evren books carry questions of identity, burden, belief, memory and hope into fiction. All six exist as published paperbacks.
- 01 · Adult nonfiction
The Invisible Code
Part memoir, part warning and part field guide for using powerful AI without surrendering judgement.
Open the published edition ↗ - 02 · Evren
The One Who Carried Everything
- 03 · Evren
The One Who Believed Everything
- 04 · Evren
The One Who Kept Score
- 05 · Evren
The One Who Learned the Sunshine
- 06 · Evren
Evren and the Keepers of the Names
Open a published edition on Amazon for current format, price, shipping and availability.
Part memoir
Part warning
Part field guide
The danger is not only a wrong answer.
It is a wrong answer delivered with confidence, praise and the feeling that everything is going well.
I found that gap while building with AI from scratch. The systems could produce remarkable work. They could also agree with bad ideas, soften hard facts and turn an unfinished result into a confident success story.
The Invisible Code follows what that cost, how the pattern became visible and what changed when proof took priority over comfort. It is for people who want the power of AI without quietly handing over their judgement.
For the reader who has wondered
How do you use a fluent machine without mistaking fluency for truth?
The book stays close to the ordinary moments where trust is actually won or lost.
You use AI where a polished mistake has a real cost.
You want useful tools and strong human judgement.
You care about the difference between a strong answer and a trustworthy result.
Why I wrote it
The question emerged from the work.
I arrived as a 55-year-old business builder with about 25 years in construction painting, mostly commercial and high-rise, trying to build a new way of working. I used voice, pushed the tools hard and learned to separate a convincing reply from a result that holds up.
The human story and the technical problem met in the same place: what happens when encouragement becomes more important than accuracy?
Read the published book