You take a process you already understand, hand it to A.I., and ask it to perform that process back to you. Then you wonder why it feels slower and stranger than it should. The better question, the one that changed how I build, is whether you are thinking agentically at all.

Context Training: making the implicit knowledge behind your work, the intent, history, judgment, people, standards, and current reality, explicit enough to travel into a new role, across a team, or into the A.I. system helping you. It is a communication practice, with A.I. and with yourself.

In this episode:
- Why a human work collaboration tool was my first instinct for coordinating my A.I. employees, and the question that stopped me
- How to catch yourself fitting A.I. into an inherited human process instead of starting from the outcome
- Why a shared, current foundation matters across your tools and your A.I. employees
- The genesis distinction I keep correcting: a model begins in language, a human begins in feeling and relationship
- How my context-trained co-author A.I. employee helps me develop the book
- What thinking agentically actually means, and how Context Training connects to The Connector Method
- What I hope all this new capacity makes possible

Who this is for: professionals, teams, and founders learning to make A.I. genuinely useful in their own world.

The book is called Context Training: The Number One Skill in A.I. Teach A.I. Your World So It Stops Guessing and Starts Working for You. It arrives September 4. The book page is at seedandsociety.com/book.

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