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Turn a Book Into an Agent—an AI Coach That Stays With You Until You Actually Do It

Long-Form Video · EP0043 June 17, 2026 4:06
What this episode covers

The best thing about reading is that it lets you reach across time and befriend the smartest people who ever lived.

I spent half a year and more than ten thousand yuan of compute building a skill: it turns a book into an agent. Not a search box where you ask and it pulls an answer out of the book, but something that carries the book's methods, speaks in the author's own voice, and coaches you step by step until you actually do it.

This episode I use Tiny Habits (the Fogg Behavior Model) to build a habit coach that walked me to a tiny habit I could start that same night. Swap in a biography or The Almanack of Naval Ravikant, and it becomes a conversation with that person.

Companion files · Drop them into Claude Code
book-to-skill Skill ZIP 7.4 KB
A Claude Code meta-skill—turn a book you bought yourself into an agent that stays faithful to the source and speaks in the author's voice; includes a reusable template for the 8-stage anti-hallucination process (source grounding · line-by-line proofing · coverage audit · scenario acceptance)

The best thing about reading is that it lets you reach across time and befriend the smartest people who ever lived—understand how they think, and talk with them. I spent half a year and more than ten thousand yuan of compute on a skill that pushes this one step further: turning a book into an agent that will talk back.

Most of the “chat with your book” tools out there are search boxes at heart: you ask, they retrieve a passage and read it back. This one is different. It isn’t retrieval-based context augmentation. It’s a real coach, and it carries more than the theory in the book—it carries the author’s own language and turns of phrase, so it sounds like the author talking to you.

Take Tiny Habits: a habit coach

The demo this time uses Tiny Habits. The agent it produced behaves like the author, walking you step by step through building a tiny habit of your own. The critical part: every sentence it says has a line in the book behind it. It isn’t making things up. It’s like talking to the author himself.

Tiny Habits is a methodology handbook, so the agent also becomes a well-informed advisor that helps you work out a solution.

A real conversation: from “I want to sleep earlier” to one action I could take that night

Ever since I started working with AI, I can’t bring myself to go to bed—sleeping always feels like wasted time. So I asked it: how do I use a tiny habit to get my sleep schedule under control?

It didn’t recite theory at me. It asked questions. First it took the guilt of “failed again” off my shoulders. Then it worked out what I really wanted to change. From my answers it learned I’d set alarms before and they hadn’t worked—so reminders alone are useless. You have to find the real psychological motive, make the behavior easier to do, and then use an action so small it cannot fail as the switch.

The method we settled on is one I still use: the phone lives in the study, I go to the bedroom without it, and even the charger stays in the study. Every time I pull it off, I give myself a small, deliberate celebration—“yes, phone’s in the study again today.” That’s how a behavior slowly turns into a habit.

Not just handbooks: biographies and The Almanack of Naval Ravikant can become “that person”

It isn’t limited to how-to books. Biographies work too. Drop in a famous person’s life story, or a book like The Almanack of Naval Ravikant, and you get the feeling of a long conversation with a first-rate mind—talking with Naval about what happiness is, and how to hold real non-attachment to outcomes while still wanting things.

How it stays faithful to the book (and doesn’t invent)

The process goes like this. You hand the skill the book’s original text. It reads the whole thing, then converts the book into conversation on a couple of fronts: it pulls out the author’s expression fingerprint, and it maps the structure of the methodology. When it answers, it adds nothing of its own invention. When it needs to quote, it goes back to the source through retrieval augmentation and quotes verbatim.

Copyright matters here. Running this skill on a book or e-book you have already purchased, to understand it better and create value of your own, is fine. If you want to use it commercially, you have to secure the rights to that book first.

I think a platform like Dedao, which publishes books with a lot of well-known figures, is perfectly positioned for this—turning its contracted authors’ knowledge into agents. I’m working with friends in publishing on exactly this kind of commercial agent: help a well-known figure publish a book, and bring that book to market as an agent at the same time. A book has historically sold for a few dozen yuan, once. As an agent it can earn the author and the publisher recurring income for years, and it helps readers understand the material better.

The whole process, packaged as a skill

I packaged this “book into agent” production process as a reusable skill (book-to-skill). Get the e-book you legally own ready and it walks you through the whole thing: parse the source text → build source grounding (verbatim + line numbers) → extract the capability core → proof line by line against the real book → audit coverage → scenario acceptance. Every step has guardrails against the traps, and it all comes down to one line: stay faithful to the book, invent nothing.

Every sentence the agent says traces back to a line in the book—it's like talking to the author in person.