Make the Machine a Librarian
Your AI will be asked how to live. Do you know its answer? Train the machine to be a librarian, not an oracle, and protect the trust you built.
Train an AI on your archive and strangers will ask it how to live. Decide its answer now.
If you haven't already, you're going to be pitched an AI version of yourself by some startup or even a really large company. The pitch will arrive with a demo. An AI trained on your entire catalog, answering fans in your voice, at three in the morning, at infinite scale. And somewhere in the first week of any pilot, I promise you, a stranger will tell it something painful and ask what they should do, because the interface promised a version of you.
That moment is the whole design problem. A conversational layer on emotional or instructional content gets treated as the author, and the author gets asked for personalized advice. The machine will oblige, extrapolating guidance you never gave, in a voice people trust because you spent years earning it. When the advice is wrong, the damage lands on the trust, and the trust is the business.
The alternative isn't refusing the technology. It's assigning it the right job. A librarian doesn't write the books or diagnose the reader. A librarian knows the shelves cold and walks you to the exact thing you need. An AI built that way makes your archive more valuable with every question, because every answer ends inside your actual work instead of replacing it.
1. Write the refusals first - Before any feature, define what it never does: personal advice, speaking as you, answering beyond the archive
2. End every answer in your work - Each response routes to the specific piece that covers it. The machine points, the catalog delivers
3. Read the transcripts monthly - The questions people ask are a free roadmap of what to make next, and an early warning when the machine drifts
Built this way, the feature earns its keep quietly. Fans find work they would never have searched for. Your archive works night shifts. The voice people trust stays the one that comes from you. The machine handles the shelves. You keep the byline.