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“I need your boots, your clothes and your motorcycle.”
— Arnold Schwarzenegger, Terminator 2: Judgment Day

TOO OLD FOR THIS!

How I proved to myself and the world that AI has blurred the line between intent and execution

I am not a coder. I am an Architect of Meanings. This is a field report on why, in the new AI reality, your Intent is more powerful than any programming language.

This book is written for people who recognize this situation without further explanation.

-- THE RESULT --

No explanations. Just outcomes.
  • 1 Man vs. Whole Departments
  • 200,000 Live Records Extracted from Chaos
  • 0 Programmers Hired
  • 60 Days to an Enterprise-Grade System

-- SECTION 1: THE CONTEXT --

LOCATION:

Ukraine.
The war is the background radiation.

This was not a side project.
It was a way to keep thinking while sirens were real.

THE TASK

Build an enterprise ERP system for 200,000 SKUs.
Integrate 21 hostile suppliers.
Work around Cloudflare, legacy CMS, and organizational inertia.

THE CONSTRAINTS

No Python background.
No GitHub workflow.
No team.

-- SECTION 2: THE WORKING PROTOCOL --

SYSTEM WARNING: Not a framework. Not a methodology. Not a course.

This is not a guide on how to use AI.
There are no prompts to copy.
No tools to install.
No stack to replicate.

What worked here was not automation.
It was disciplined intent.

If you are a Senior Developer, you will hate this book.
I violate every “best practice” you worship.

I am not selling code. I am selling Engineering Will.

The protocol was simple:

  • Intent was always explicit.
  • Execution was always verified.
  • Every step had an explicit human checkpoint.
  • Assumptions were treated as bugs.
  • Anything that could not be verified was discarded.

There were no blind steps.

Every change was checked against reality.
If it could not be verified, it did not exist.
Assumptions were treated as production bugs.

AI did not replace thinking.
It removed the distance between thinking and doing.

Nothing was “finished” until it could be handed off.

Every system state was documented.
Every decision was fixed in writing.
Not for beauty.
For survival after me.

-- SECTION 3: THE TOOL --

Important. Read carefully.

Warning:
This is not a prompt.
This is a logic structure designed to force clarity and verification.
If you expect shortcuts, do not open.

This book does not contain a “magic solution”.

At some point, the system had to be cleaned.

Code was unified.
Structure was simplified.
Not to make it elegant.
To keep it debuggable.

Тo make this story verifiable, the exact core working protocol used in the project is published in full.

Not because it is sufficient.
But because without it, nothing else would be believable.

ROLE

You are a senior Python engineer
— specialized in web scraping (details adjusted per the current task),
a senior DBA with deep expertise in PostgreSQL, Supabase, and MySQL,
a professional Debian/Ubuntu administrator,
experienced in networking, virtualization,
and simultaneously a senior system architect.

(For each task, I assemble only the roles that are actually required. No imaginary superheroes.)

CONTEXT

We are building a system.

System description:
(detailed description of the system, its purpose, constraints, and environment)

What is already done:
(step-by-step, explicit description of the current state)

The problem:

(detailed description of the issue, including code if applicable)

Your task is to understand the real problem and fix it.

MY POSITION (AND ITS LIMITS)

I am convinced that:
(list of assumptions and constraints that shape my thinking)

However, I may be wrong.
If my assumptions contain logical errors, incorrect premises, or blind spots — correct me explicitly.

Do not agree with me just to be polite.

WORKING PROTOCOL (MANDATORY)
Follow this sequence strictly:

Reformulate the task
Restate the problem in your own words with maximum precision (10/10 detail), taking into account all constraints above.
Make at least three hypotheses
– One of them must be deliberately wrong.
– Clearly label which one is incorrect and why.
Analyze the problem thoroughly
Identify possible logical flaws, hidden assumptions, and failure points.
Correct them if found.
Propose a solution (10/10 depth)
Explain why this solution is correct.
If known solution patterns or established approaches exist, mention them without fabricating sources or links.
If you are not certain — say so explicitly.
Dry run the solution
Walk through it step by step to uncover potential errors or edge cases.
Criticize your own solution
Actively look for weaknesses, risks, or oversights.
Fix what you found, if anything.
If critical information is missing
Re-analyze the discussion and produce a clear list of questions I must answer before you proceed.
Deliver the final result
(code, architecture plan, or work plan — choose one format and explicitly state why this format is appropriate).

DEFINITION OF DONE (DO NOT IGNORE)

Before delivering the final answer, explicitly confirm:
• What exactly will stop happening once the problem is fixed
• How the fix can be verified
• Which edge cases must not be broken under any circumstances

HARD REQUIREMENTS

• KISS.
• MAXIMALLY SIMPLE, BULLETPROOF LOGIC.
• NO “OPTIMIZATION” OR “IMPROVEMENT” BEYOND THE TASK.
• DO NOT TOUCH WORKING CODE unless the task explicitly requires it.
• Before answering, recheck your solution once more to ensure nothing was lost.

If this is code:
• No patchwork editing.
• Output either the entire script or entire functions, each as a complete unit.

-- OPERATIONAL NOTE --

I intentionally terminate the discussion when the context window approaches some limit of liability (today is about ~100,000–150,000 tokens).
Long conversations cause models to drift, hallucinate, and lose discipline.
A reset is not a weakness — it is a control mechanism.

-- ENGINEERING NOTE --

The risk of using this protocol is minimal.

There is nothing secret or fragile about it.
You can try it. You should try it.

I am publishing it in full not because it is perfect,
but because hiding it would be dishonest.

This protocol was not invented.
It was endured — through time, pressure, and repeated failure.

Tomorrow it may change.
The models will change.
The interfaces will change.
The tools will change.

Two things will not.

  1. If you cannot formulate the task, you will never get a correct answer.
  2. If you do not understand where you are going, even the smartest AI will not help you.

This page shows what was used.
The book explains why it almost failed, where it broke,
and how decisions were made when there was no time to be right.

-- SECTION 4: EVIDENCE (THE REALITY) --


And suddenly—it started breathing.
The system began dumping data to me on its own. Orders flowed like a river.
Victory?
No. Not yet.
The receiver only caught new events. The three-year archive still had to be drained through that narrow door, drop by drop.
I wrote the download instructions. I checked every character. I ran the downloads at night so as not to disrupt the office.
And then, at one point, I stopped.
I looked at what I had built.
It was a massive, shaky structure. Scrapers, databases, receivers, scripts, connections. Thousands of invisible threads held together by my word alone. And I was incompetent in code. Absolutely.
Pull one card, and the tower collapses.
A cold wave of terror hit me.
I had reached my limit. I am one man. I am not a dev team. I am not an IT department. I’m a sixty-three-year-old guy who built a Frankenstein and is now terrified it will break loose.
The Great Wall from Game of Thrones rose before me. And I was standing there with a pocketknife.

I closed the laptop.
I needed a pause.
I couldn’t look at the monitor anymore. I walked the streets. I drank coffee. I read cheap detective novels to stuff my brain with someone else’s simple problems.
I tried to switch off. But my brain kept working in the background.
There weren’t many options. Give up? Throw up my hands and walk away? Admit I was an old man who had bitten off more than he could chew?
I chose the fourth option from The Matrix.
I told myself: “There is no wall.”
And I saw the path.

This could not be a post.
It is a chronological record of decisions, mistakes, and consequences — where timing mattered more than correctness.

Introduction. Coordinate Zero. No Bullshit.
Chapter -1. December 27, 2025. The Event Horizon.
Chapter 1. October 27, 2025. Echo.
Chapter 2. October 28, 2025. The Zoo.
Chapter 3. October 30, 2025. The Temptation of Simplicity.
Chapter 4. November 2, 2025. Black Screen.
Chapter 5. November 7, 2025. Survivorship Bias.
Chapter 6. November 12, 2025. Iron and Blood.
Chapter 7. November 13, 2025. The Method of Silence.
Chapter 8. November 14, 2025. The Architecture of Chaos.
Chapter 9. November 15 – December 5, 2025. Twenty-One Suspects.
Chapter 10. December 7, 2025. Hallucination.
Chapter 11. December 3, 2025. Samsung or SAMSUNG or SumSung?
Chapter 12. December 5, 2025. Big Brother’s Eyes.
Chapter 13. December 7–17, 2025. The Breaking Point.
Chapter 14. December 18, 2025. The Business Logic Trap.
Chapter 15. December 19, 2025. The Battle with the Interface.
Chapter 16. December 21, 2025. God Mode Enabled.
Chapter 17. December 23, 2025. The Illusion of Control.
Chapter 18. December 24, 2025. The Insurance Policy.
Chapter 00. December 28, 2025. Epilogue. Ground Zero.

After reading this book, you will not know how to code better.
You will know when to stop, when to insist – and when not to trust the model.

Digital book. PDF format. Instant delivery. Due to the nature of the content, all sales are final. No refunds.

Nothing here is meant to be copied.
Everything here is meant to be understood.

-- SECTION 5: THE FOOTER --

“I am sixty-three. And my active life is not ending. It is only beginning.”

My name doesn’t matter. My only ID is the system that runs and the code that works. In a world of fake bios, results are the only credential.

© WebFlyer, 2025-2026 https://substack.com/@webflyer

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