Your AI has a PhD in everything and the memory of a goldfish. It can help you write a pitch deck, analyse a contract, and draft a client proposal in the same afternoon, but open a new chat and you are back to square one, re-explaining yourself for what feels like the hundredth time, and it still never quite sounds like you.

Rob Webster, founder of TAU Marketing Solutions, returns to Early Adoptr to explain exactly what is going wrong and how a simple file and folder structure fixes it. AI tools have a memory problem: they are smart but they forget everything between conversations, or drift off course when a chat runs too long. Rob, Jess, and Kyle dig into how to create files and build a folder structure that gives your AI permanent, reliable context about who you are and what you do, so you stop explaining yourself from scratch every session.

What You'll Learn

Why AI behaves like a goldfish with a PhD
The difference between always-on context (the things permanently true about you, your role, and your business) and situational context you load in only for specific tasks or clients
How to build a simple folder structure , what files to put in it, and how tools like Claude read that context automatically so you don't have to paste it in every time
How to decide what information should live permanently in your files versus what's transitory context that should be removed once a project or idea is done
What "context drift" is and why long conversations degrade even when you've done the setup correctly — and how to catch it early
How this same folder structure becomes the foundation for more advanced AI work, including Claude Cowork and building your own AI agents

Rob Webster - https://www.linkedin.com/in/digitalstrategyleader/

TAU Marketing Solutions - https://taums.ai/