/AI5h ago

Dean W. Ball, Hyperdimensional Substack author, uses a 5.5 Pro and 5.5 Thinking agent workflow to generate customized mini-books

Each generated book consumes 4 million to 20 million tokens

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Dean W. Ball@deanwball#390inAI

One of my standard agent uses is to create “mini-books” on historical topics, such as countries I visit. I have an app that allows me to name a topic or place. This feeds into a pre-written prompt that generates a syllabus written by 5.5 Pro, which is itself composed of prompts for each topic. These prompts are then fed into 5.5 Thinking, and the outputs are put into a nicely formatted website. The full output is usually the length of a short book. All I have to do is write the topic and press enter, and the whole thing appears a handful of minutes later. This is a very vanilla use of coding agents and LLMs, but it’s a remarkable capability that continues to blow my mind. I have never felt more joy in using computers than I do these days.

9:33 PM · Jun 7, 2026 · 9K Views
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Users criticize AI agent systems for generating short books that lack sustained arguments and structural depth, while highlighting risks of unchecked hallucinations and difficult debugging in multi-agent book publishing.

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Dean W. Ball@deanwball

tweeting about this caused me to think about the structure of this project, which was one of the first things I did when coding agents crossed the good enough threshold circa October/November. as currently conceived, the project is very much rooted in a 2024/5 conception of ai: decentralized api calls to llms. chatbots.

but after tweeting this, I realized you can now plausibly just create a digital organization filled with teams of agents, since the agents are getting so good at orchestrating teams of agents. if you're willing to spend the tokens, that is.

so what I am attempting is a kind of digital publisher, with 'submitter' agents who pitch book proposals, editors who pick them, research agents, writing agents, fact-checking agents, editors, and similar--hundreds in total. the token usage will be outrageous. we will see how much better the quality is.

Dean W. Ball@deanwball

One of my standard agent uses is to create “mini-books” on historical topics, such as countries I visit. I have an app that allows me to name a topic or place. This feeds into a pre-written prompt that generates a syllabus written by 5.5 Pro, which is itself composed of prompts for each topic. These prompts are then fed into 5.5 Thinking, and the outputs are put into a nicely formatted website. The full output is usually the length of a short book. All I have to do is write the topic and press enter, and the whole thing appears a handful of minutes later. This is a very vanilla use of coding agents and LLMs, but it’s a remarkable capability that continues to blow my mind. I have never felt more joy in using computers than I do these days.

2hViews 2.6KLikes 16Bookmarks 7
Dean W. Ball@deanwball

Of course they are not books in the sense of carrying out a sustained argument, or building structural metaphors/analogies, over hundreds of pages. Models cannot really do that still ime, which is ironic given how much their analysis of writing is obsessed with structure.

Dean W. Ball@deanwball

One of my standard agent uses is to create “mini-books” on historical topics, such as countries I visit. I have an app that allows me to name a topic or place. This feeds into a pre-written prompt that generates a syllabus written by 5.5 Pro, which is itself composed of prompts for each topic. These prompts are then fed into 5.5 Thinking, and the outputs are put into a nicely formatted website. The full output is usually the length of a short book. All I have to do is write the topic and press enter, and the whole thing appears a handful of minutes later. This is a very vanilla use of coding agents and LLMs, but it’s a remarkable capability that continues to blow my mind. I have never felt more joy in using computers than I do these days.

5hViews 1.8KLikes 11Bookmarks 1
Dean W. Ball@deanwball

@HaydnBelfield @rustbeltjacobin I want to try this with the new approach I'm using which is maybe 50x more token intensive

Haydn Belfield@HaydnBelfield

@deanwball @rustbeltjacobin Couldn't an agent pull out the text to a separate website pretty easily?

Loads of folks would be interested to have a gander at one of these minibooks

2hViews 83Likes 2Bookmarks 0
Haydn Belfield@HaydnBelfield

@deanwball This is basically the structure of Co-Scientist!

https://deepmind.google/blog/co-scientist-a-multi-agent-ai-partner-to-accelerate-research/

Dean W. Ball@deanwball

tweeting about this caused me to think about the structure of this project, which was one of the first things I did when coding agents crossed the good enough threshold circa October/November. as currently conceived, the project is very much rooted in a 2024/5 conception of ai: decentralized api calls to llms. chatbots.

but after tweeting this, I realized you can now plausibly just create a digital organization filled with teams of agents, since the agents are getting so good at orchestrating teams of agents. if you're willing to spend the tokens, that is.

so what I am attempting is a kind of digital publisher, with 'submitter' agents who pitch book proposals, editors who pick them, research agents, writing agents, fact-checking agents, editors, and similar--hundreds in total. the token usage will be outrageous. we will see how much better the quality is.

1hViews 157Likes 1Bookmarks 0
Jazi Zilber@yzilber

@deanwball I'm doing something my similar to study languages. Here's the content part

"I'm a widely read PhD, know all type. Pls suggest 10 pieces on subject X that I'm likely to not know"

Then I select.

5hViews 128Likes 1
Haydn Belfield@HaydnBelfield

@deanwball @rustbeltjacobin Interesting to think how in/efficient it is compared to eg interview transcripts, taking notes and writing drafts for a traditional book

Eg 4m-20m tokens for 10-100k words book

Dean W. Ball@deanwball

@HaydnBelfield @rustbeltjacobin yeah I just blasted 4m tokens on a book but I think there’s substantial room to run. trying a new iteration of the agent org structure that may well get me closer to 20m.

2hViews 37Likes 0Bookmarks 0
Nathan Quantum@AI_WarriorNQ

@deanwball debugging this must be a nightmare. what happens when research hallucinates and the fact-checker just agrees

2hViews 1