The LLM Council

You ask your AI for the truth. It tells you what you want to hear. Again.



It takes your premise as ground truth and builds an elegant, well-reasoned case on top of it. If your premise is cracked, you do not get pushback. You get a flawless tower built on a broken floor.



Meanwhile, people on Reddit are getting answers they actually trust. Not from a sharper prompt. From a council: a panel of AI advisors that attack the question from five different angles, peer-review each other anonymously, and hand back one verdict instead of five opinions. The difference is not talent. It is the system.



This book hands you the complete council system Andrej Karpathy sketched and nobody finished. You will build your first five-advisor council this weekend, one command, running right inside your editor. By Chapter 4, you run it on a real decision. By Chapter 8, your code reviews itself through a panel that argues to consensus. By Chapter 12, you own a library of councils you convene for the rest of your work.



This is not another essay about AI sycophancy. A dozen books name the yes-man problem and stop there. You cannot fix a yes-man with a better prompt. You cannot trust one model to check its own work. You cannot build a board that matters by pasting a free script and hoping. They name the disease. This book ships the cure.



Here is what you will build:

1. A working council skill with five advisors (Contrarian, First-Principles, Outsider, Executor, Expansionist) you run with one command.

2. A chairman that turns five opinions into one verdict, with the dissent shown, not buried.

3. A multi-model council routing GPT, Claude, and Gemini, so no single model's blind spot decides your answer.

4. A code-review council that debates your pull request to consensus before it ships.

5. A business advisory board for the pricing and hiring calls where a wrong answer costs you months and thousands of dollars.

6. A verification council that fact-gates a claim, reports its confidence, and shows its work in an audit trail.

7. A reusable council prompt library you convene for any decision, long after you finish the book.



Every week, another thin essay drops naming the yes-man problem and stopping there. This one is the build. Nearly 200 pages, and every chapter ships a council that actually runs. It answers the question the free repos dodge: is a council just five times slower, or is it worth it? Scroll up and grab your copy.