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Is Your AI Hallucinating, or Is It You? β€” New Book by Justin Erickson
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New Book β€” February 2026

Is Your AI
Hallucinating,
or Is It You?

Why Most AI Failures Are Human Failures β€” And What to Do About Both

Your AI isn't broken. Your instructions are.

β€” Opening line, Chapter 1

Is Your AI Hallucinating, or Is It You? β€” Book Cover
Kindle Edition Β· 711 KB Β· Available Now
The Core Thesis
90/10
The Rule That Changes Everything
Human Error
90%
Model Error
10%

The vast majority of AI failures trace back to human decisions, not model limitations. Bad context. Vague instructions. No fallback plan. No architecture at all β€” just a human typing into a chat window and hoping for magic.

What's Inside

Not theory. Not demos. Frameworks built in production with real money on the line.

Framework
The 90/10 Rule
Why the vast majority of AI failures trace back to human decisions, not model limitations.
Architecture
Seven-Block Prompt Architecture
A systematic framework for building prompts that work every time β€” not just once.
Strategy
Multi-Model Strategy
When to use Claude, GPT, Gemini, and Cursor β€” and why loyalty to one model is a business risk.
Case Study
The 47-Minute Outage
What happened when Claude went down mid-operation, and the fallback architecture that saved the day.
Reliability
Production Reliability
How to build AI systems that degrade gracefully instead of failing catastrophically.
Discipline
Prompt-as-Code
Version control, testing, and engineering rigor applied to every instruction you send.
the-90-10-thesis.js
// Every tool has a failure rate.
// A circular saw doesn't cut straight if you feed it crooked.

const aiOutput = evaluate({
  prompt: "vague instruction with zero context",
  constraints: null,
  fallback: undefined,
  architecture: "hoping for magic"
});

// The question isn't whether your AI hallucinates.
// The question is whether you gave it any reason not to.

if (aiOutput.failed) {
  console.log("Check the mirror, not the model.");
}

Built from Production,
Not Theory

This isn't a book about what AI could do. It's a book about what happens when AI meets real business operations, real deadlines, and real money on the line β€” and what breaks when you don't build it right.

Justin Erickson runs two companies on AI infrastructure he built himself. Every framework in this book was forged under pressure β€” real deployments, real failures, real fixes. No sandboxes. No hypotheticals.

If you've never used Claude, GPT, or any AI tool in a real project, start with Coding with Claude (Book 1 of The Claude Command series) and come back.

Cloudflare Workers 54+
AI Models in Prod 4
API Integrations 22+
Edge Latency <1ms
Uptime SLA 99.99%
Books Published 10+

β†’ Who This Is For

βœ“ Builders using AI in production systems β€” not demos, not experiments
βœ“ Entrepreneurs running real operations on AI infrastructure
βœ“ Developers who've shipped code but haven't formalized their AI workflow
βœ“ Technical leaders evaluating AI reliability for their organizations
βœ“ Anyone who's blamed the AI and suspects they were wrong

β†’ Who This Is Not For

Γ— Complete AI beginners β€” there's no chapter explaining what a large language model is
Γ— People looking for theory without production stakes
Γ— Anyone who's never used Claude, GPT, or any AI tool in a real project
Γ— If that's you, start with Coding with Claude (Book 1 of The Claude Command series) and come back

The question isn't whether your AI hallucinates.
The question is whether you gave it any reason not to.

Available now on Kindle. Read it tonight. Fix your prompts tomorrow.

Kindle Edition Β· $5.99