How it works
Six steps. Twenty minutes to your first read.
The archive ships as a Reader Edition — one download with platform-specific packs inside. You pick the pack that matches your AI, follow its setup, and begin. The reading protocol is identical across platforms; only the loading mechanics differ.
step 01
Download the Reader Edition
One bundle, six ways in. The free demo is a slice; paid tiers ship the full Reader Edition — a ChatGPT pack, a Claude pack, a Gemini / GitHub pack, a NotebookLM pack, the Full Archive, and ten Episode Packs.
step 02
Open README_FIRST.md and pick your platform
Each platform pack is shaped to fit that platform's workspace — ChatGPT and Claude get a Compact Book Pack of 15-20 Markdown files; Gemini gets a folder or GitHub import; NotebookLM gets a 10-20 source bundle.
step 03
Load the pack into a workspace
A ChatGPT or Claude Project, a Gemini code-folder or repo import, or a NotebookLM notebook with sources. Setup guides walk through each.
step 04
Paste the starter prompt
Tells the agent the archive is canon, you are the reader, and to walk the book one beat at a time. Reading protocol is the same on every platform.
step 05
Choose a reading mode
Mission Control for first-timers. Fast Briefing if you have 30 minutes. Eight modes total — pick by spoiler level.
step 06
Follow citations back
Every claim points to a file. Open it. Confirm. Re-read in your own order. AI-generated additions are not canon unless they appear in an official release.
Platform setup
One guide per AI platform.
Each guide includes the recommended product tier, the upload pattern, the starter prompt, and known platform-specific limitations.
ChatGPT
easyRecommended pack · ChatGPT Pack (Compact Book Pack)
Full guide with the starter prompt and notes on platform limitations →
Claude
easyRecommended pack · Claude Pack (Compact Book Pack); paid plans can use the Full Archive
Full guide with the starter prompt and notes on platform limitations →
Gemini
moderateRecommended pack · Gemini / GitHub Pack (Full Archive Folder or repo import)
Full guide with the starter prompt and notes on platform limitations →
NotebookLM
moderateRecommended pack · NotebookLM Pack (10–20 compiled sources)
Full guide with the starter prompt and notes on platform limitations →