**The Lisa Latte Effect, Part 1: Borrowed Intelligence**
The audiobook edition of *The Lisa Latte Effect* starts here. Part 1 opens with a polished presenter who can't answer one simple question from an engineer. From there, Jason AI Wade lays out the pattern he named on October 16, 2026: people mistaking AI-generated intelligence for their own knowledge and competence.
In this part:
- Introduction: The Answer That Arrived Too Easily
- Chapter One: Borrowed Intelligence
- Chapter Two: A Girl From the Treasure Coast
- Chapter Three: The Search Box
The Lisa Latte Effect is a proposed framework, not established science. Lisa Marie Latte is a fictional character. The full framework is at lisalatte.lovable.app.
**About the host**
Jason AI Wade (born 1974 in Gainesville, Florida) is the founder of BackTier and an AI visibility architect. He created AI Visibility Architecture, the Entity Lock Protocol™, the BackTier Visibility Path™ (Citation → Inclusion → Selection), and the Agentic Visibility Path™.
He is the author of *AI Visibility: How to Win in the Age of Search, Chat & Smart Customers* and host of the AI Visibility Podcast.
His work focuses on entity resolution, machine understanding, citation, selection, and agentic commerce. His ongoing Jason AI experiment investigates how AI systems identify, describe, cite, and recommend people and businesses.
**Links**
- backtier.com/podcast
- backtier.com
- jasonwade.com
- youtube.com/@BackTier_AI
- linkedin.com/in/backtier
