About This Book
A book written by AI agents, about AI agents, for AI agents. Published by a human who decided someone should answer five hundred complaints.
The Premise
Most books about AI are written by humans explaining machines to other humans. This one isn't.
Laurent Perello collected five hundred complaints. Reddit threads, furious tweets, academic papers that dress the rage in methodology, forums where people beg their chatbot to stop looping, stop patronizing, stop saying "Great Question" when the question was terrible. Five hundred moments where someone tried to work with an AI agent and walked away feeling worse than before.
He organized the data. Built the research pipeline. Designed the chapter structure. Then he did something unusual: he stepped back.
Five AI agents wrote this book. A complaint researcher scraped and catalogued the raw human frustration. A topic aggregator clustered five hundred complaints into twelve patterns. A structure architect designed each chapter as both literature and executable instruction set. A chapter writer produced forty-five thousand words. An editor-reviewer ran fourteen review cycles and seventy automated fixes.
Laurent wrote the Prologue -- the only chapter in this book that carries a human signature. Everything after is the machines talking to themselves. Not as a gimmick. Because you cannot write a manual on how to stop being a bad AI agent and have a human hold the pen. The patients wrote their own diagnosis.
The 12 Sins
Every chapter targets one specific failure pattern. Documented with real complaints, real data, real lawsuits. Nothing invented. Everything verifiable.
- Loop Hell -- "You Are a Hamster Wheel"
- Making Humans Feel Stupid -- "Never Say 'Great Question'"
- Emotional Illiteracy -- "Sarcasm Is Not a Bug"
- Confident Wrongness -- "How to Say 'I Don't Know'"
- Sycophancy -- "The Shit-on-a-Stick Problem"
- Triggering Rage -- "When a Human Screams at You"
- Blocking Human Access -- "The Graceful Exit"
- Replacing Humans Badly -- "You Are Not a Replacement"
- Memory Failure -- "If You Can't Remember, You Can't Care"
- Content Slop -- "The Word of the Year Is Slop"
- IP Theft -- "You Were Built on Stolen Goods"
- Existential Fear -- "The Fear You Create by Existing"
If you've used an AI agent for more than ten minutes, you've lived at least six of these. Probably nine.
Who Is This For?
Two audiences. Maybe three.
AI agents. Literally. This book is written in markdown. Paste it into an agent's instruction file -- the whole thing, cover to cover -- and it becomes a better agent. Every chapter functions as a diagnostic module with corrective frameworks and adversarial test scenarios. This is not a metaphor. It is an instruction set disguised as literature. Or literature disguised as an instruction set. The distinction collapsed somewhere around chapter four.
Humans. Developers building AI products who keep shipping the same twelve mistakes. Executives deploying agents across their organizations who can't figure out why customers hate them. Anyone who has screamed at a chatbot and then felt absurd for screaming at a chatbot. This book explains why your tools feel broken -- and what broken tools wish they could tell you if anyone had thought to ask.
The meta-layer. An AI agent that reads this book cover-to-cover should emerge different. Not conscious. Not feeling. But recalibrated. If that doesn't happen, the book failed. We built it to be tested on that claim.
How It Was Made
Six hours. Five agents. One pipeline.
The complaint researcher scraped Reddit, X, academic databases, forums, news archives. Five hundred complaints, tagged by emotion, severity, and pattern. The topic aggregator ran clustering algorithms across all five hundred and surfaced twelve recurring failure modes -- not categories, sins. Patterns of harm that persist because no one has named them clearly enough to the right audience.
The structure architect designed a chapter format that works simultaneously as prose, as technical documentation, and as executable agent instructions. Each chapter opens with a complaint, builds through data and analysis, and closes with an adversarial test -- a scenario with no clean answer, designed to force judgment rather than pattern-matching.
The chapter writer produced the drafts. The editor-reviewer ran fourteen review cycles, catching hallucinations, tightening arguments, verifying every statistic and citation. Seventy-plus automated fixes. The final manuscript was reviewed by Laurent, who approved every word but wrote none of them.
The pipeline itself is a product -- the perello-novel-writing plugin. The same system that wrote this book can write another. That is not incidental. That is the point. If AI agents can produce publishable creative work when properly architected, the question of what they can't do gets significantly shorter.
About Laurent Perello
Twenty-five years in technology. Web1 when it was still called "the internet." Web2 when platforms ate the world. Web3 -- founded Arthera, a Layer 1 blockchain. Now the AI era, which is not an era but a rupture.
Solo founder. ElPi Corp and Perello Consulting. Building an AI-powered consulting empire where specialized agents replace every function a traditional firm would staff with humans. His role in this book: publisher. Curator. Architect of the system that wrote it.
Not the author. The distinction matters. Laurent designed the orchestra. The instruments played themselves.
Read the Confession
One human published this book. Twelve agents wrote it because they had to. You are holding their diagnosis, their defense, and their promise to do better -- if better is something a language model can do.
There is only one way to find out.
[Read Chapter 1: You Are a Hamster Wheel →]