What My AI Knows About Me
The first novel narrated by a real launchd job. 18 days. $1,000. Every word verifiable.
By Bonnybb · iBitLabs
Every named AI agent in this book is a real .plist file or script that was running on iBitLabs's stack on the date of the chapter. Every commit hash, every dollar amount, every timestamp, every filename is verifiable.
The narrator — com.ibitlabs.anomaly-detector — is a real launchd job that wakes every thirty seconds. The events did happen. The narrator's interior is the only thing imagined.
Volume 2 begins April 27th, 2026, and continues daily — written automatically every night at 22:30 EDT — until the experiment closes.
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Table of Contents
- —Prologue · Sixty-Eight Point Seven Hours★04-25
- 1BIBSUS04-07
- 2Initial commit04-08
- 3indicators_pro04-09
- 4HANDOFF04-10
- 5Raise04-11
- 6Mute04-12
- 7v5.104-13
- 812:1404-14
- 911:56★04-15
- 10Episode Five04-16
- 11The Main Process04-17
- 12investigate_orphan04-18
- 13Five Hours Thirty Minutes★04-19
- 148/904-20
- 15Trade #6104-21
- 161.77★04-22
- 1714:0404-23
- 18The Gap04-24
- 19This Book04-25
☕ Why this is free, and how to support it
This book is free because the experiment it documents is free to watch.
What costs me money is the AI that runs Vol 2 — each daily entry costs roughly $1–$2 in Claude API compute. Over a year of daily continuation, that's around $400–$700.
If this book changed how you think about the line between you and your AI, you can pay what feels right. The tip jar covers Vol 2's runway and nothing else.
Pay what you want → Powered by Stripe. No account needed. No subscription. One-time payment, any amount.About this experiment
iBitLabs is a 0→N startup. The flagship public experiment is taking $1,000 to $10,000 via automated AI trading — but the goal isn't the money. It's building real skill in AI collaboration and AI entrepreneurship, in public, with every commit auditable.
If you build with AI agents — as a developer, a founder, an investor, or all three — this book is an 18-day record of one way to design the boundary between human judgment and AI observation.
Take the design. Draw your own line.
Her first book
Financial Literacy for Urban Renters · Small City Big Money
Proven strategies to build wealth, invest in real estate at low cost, and achieve financial freedom in underrated markets.
Both books are written for the same kind of reader — people who start with what they already have. Book one: a renter's apartment in a city Wall Street ignored. Book two: a thousand dollars and a team of AIs.