THE PROBLEM
Every Session Starts From Zero- Your AI forgets everything between sessions. Architecture decisions, debugging breakthroughs, fifty sessions of context — gone. You rebuild from scratch every time you open a new chat.
WHAT’S INSIDE
Preface: Why The Re-Anchor Manager Exists
Chapter 1: The Authority Hook
Why You Should Listen to Someone With 3,072 Conversations
Chapter 2: AI-lzheimer’s Disease
Why Every LLM Session Starts From Zero
Chapter 3: What Is a Re-Anchor?
The Simplest Idea That Changes Everything
Chapter 4: The Session Protocol
Start Right, End Right, Every Time
Chapter 5: Hydration
Feeding Context to a Goldfish
Chapter 6: Memory and Instructions
The Two Layers LLMs Actually Support
Chapter 7: The Three-Team Model
Why Trains Don’t Build Their Own Track
Chapter 8: The Re-Anchor Format
From Unstructured Notes to Machine-Readable Contracts
Chapter 9: Scaling Across Projects
When One Re-Anchor Chain Is Not Enough
Chapter 10: The Hundred-Session Project
Industrial Agentic Engineering in Practice
Chapter 11: Cross-Session Patterns
Catching What No Single Session Can See
Chapter 12: Getting Started
Your First Re-Anchor in Fifteen Minutes
Chapter 13: What Comes Next
The Future of Persistent AI Development
Appendix A: Vocabulary Index
About the Author
Other Booklets in This Series
PROOF
59Sessions Using This Method94,155Messages Analysed5Products Built0Lines of Code Written by the Author
WHO IT’S FOR
- AI developers managing multi-session projects
- Prompt engineers hitting the context wall
- Technical leads supervising AI coding agents
- Anyone who’s lost a day rebuilding context the AI forgot
ABOUT THE AUTHOR
Mohan Iyer is an industrial engineer with fifty years of professional experience in systems design, process optimisation, and quality assurance.
Mohan is the creator of Seekrates AI, a multi-model consensus platform, and the developer behind several open-source tools for AI-assisted workflows. He lives in Auckland, New Zealand.