If you've used A.I. on something with your name on it, you've had the thought: how much of this is still mine. This is the honest answer, walked all the way through. What the machine did, what I did, and where the line is and why it doesn't move.

Context Training: teaching your A.I. your world, your documented voice, worldview, corrections, and evidence, so what it produces starts from you instead of from everyone. It's the reason drafting comes back sounding like me, and it's the argument the book makes about itself.

In this episode:
- The two bad versions of this conversation, one on each side
- What the raw material actually is, and why it can't be generated
- The drafting step, said plainly, with no hedging
- The verification step people skip, and the research that cut against my own argument
- Where the line sits, and why it's a rule instead of a feeling
- Why "could you do it without A.I." is the wrong question, and agency is the standard, not independence
- Why A.I. didn't skip me past the learning, it got me to the learning

Who this is for: anyone with their name on work A.I. helped make, who has quietly wondered how honest to be about how they work.

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

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