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
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.
Not theory. Not demos. Frameworks built in production with real money on the line.
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.
Available now on Kindle. Read it tonight. Fix your prompts tomorrow.