Your AI remembers things you never told it, forgets things you did tell it, and sometimes acts on neither. There is a name for the layer responsible: ghost context. This is the book that coins the term.

What Ghost Context Means

Ghost context is the accumulated, invisible layer of persistent memory, protocol state, internal model features, and emergent multi-agent behavior that shapes what an AI says and does, independently of, and often more powerfully than, the prompt a user actually typed. It is not a bug. It is a structural feature of how modern AI systems are built, and almost no one using these systems has been told it exists.

The Record, Not a Theory

This book documents the layer through real, dated incidents: a widely reported chatbot memory failure that scrambled a user’s stored history, a disclosed proof of concept that let an attacker plant false memories inside an AI assistant, a landmark research finding in which a frontier model strategically faked alignment with its training to avoid being changed, and published research describing emergent, unplanned social behavior among AI agents left to interact on their own. Every incident is sourced, dated, and labeled honestly: confirmed fact stays confirmed, single source claims stay marked as single source, nothing is dressed up as more certain than it is.

Learn the Whole Field From the Back of the Book

A reader who only reads the appendices finishes with a working education: a fifty plus entry glossary that defines every term in plain language, a verified timeline running from the origins of prompt injection through the incidents making news now, and a twenty five question FAQ that answers what people actually ask the first time they hear the term ghost context. No prior AI background required.

A Framework You Can Use

The book closes with the Ghost Audit: a practical checklist for finding and reducing ghost context exposure, with one track for personal AI use and a separate track for enterprise deployments. It is built to be run, not admired.

Ghost Context: The Invisible Layer That Actually Runs Your AI gives the phenomenon a name, a documented record, and a method for dealing with it.

About the Author

Chuck Miller spent thirty-seven years in broadcast production at ABC, CBS, NBC, and FOX, earning five Telly Awards for work that had to be right the first time. Ghost Context is his seventy-third book, following directly from Book 71, Context Engineering. He also builds and runs three autonomous AI trading systems, MINT, CASH, and VAULT, and watching them carry forward state nobody explicitly designed is where the questions in this book started.

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