God and the auditor
From distinction to reproducible action
Current edition: 0.00
License: Creative Commons Attribution 4.0 International
Editions: Russian canonical edition; English translation available
The Idea
This book is about philosophical machines, philomic thinking, and reproducible action under incomplete knowledge.
God and the auditor introduces a practical way to read, design, and operate complex systems. It starts from a common working condition: people, organizations, and AI-supported systems often need to act while knowledge is still incomplete.
The book shows how to work in that condition by making the unknown visible, structured, and testable.
It follows a clear operating path: choose what you are looking at, define its boundary and scale, identify what is missing, turn the important unknown into a question, test it through a protocol, execute a candidate solution, record what actually happened, filter experience through feedback, and turn verified results into instructions that can work again.
This is the BOIS cycle.
The introduction explains this path through two recurring examples: a workshop that organizes real work, and a bumblebee life cycle reconstructed from biological evidence. Together, they show two uses of the same discipline: building an artificial organization and understanding an existing process.
A central idea of the book is status discipline.
Facts, messages, hypotheses, conclusions, decisions, and open questions each have their own role. Keeping these statuses distinct helps a system preserve evidence, judgment, responsibility, and the exact place where further knowledge is needed.
This is why the book calls such systems philosophical machines.
A philosophical machine is not just a tool that performs tasks. It is a working architecture that makes fundamental distinctions operational: what exists in the calculation, what counts as knowledge, who acts, who accepts results, what risks guide action, what counts as closure, and how experience changes future work.
The book leads from attention to action, and from action back to attention.
It asks how meaning can become a reproducible way of acting, learning, repairing errors, and continuing work.
This book is about philosophical machines, philomic thinking, and reproducible action under incomplete knowledge.
God and the auditor introduces a practical way to read, design, and operate complex systems. It starts from a common working condition: people, organizations, and AI-supported systems often need to act while knowledge is still incomplete.
The book shows how to work in that condition by making the unknown visible, structured, and testable.
It follows a clear operating path: choose what you are looking at, define its boundary and scale, identify what is missing, turn the important unknown into a question, test it through a protocol, execute a candidate solution, record what actually happened, filter experience through feedback, and turn verified results into instructions that can work again.
This is the BOIS cycle.
The introduction explains this path through two recurring examples: a workshop that organizes real work, and a bumblebee life cycle reconstructed from biological evidence. Together, they show two uses of the same discipline: building an artificial organization and understanding an existing process.
A central idea of the book is status discipline.
Facts, messages, hypotheses, conclusions, decisions, and open questions each have their own role. Keeping these statuses distinct helps a system preserve evidence, judgment, responsibility, and the exact place where further knowledge is needed.
This is why the book calls such systems philosophical machines.
A philosophical machine is not just a tool that performs tasks. It is a working architecture that makes fundamental distinctions operational: what exists in the calculation, what counts as knowledge, who acts, who accepts results, what risks guide action, what counts as closure, and how experience changes future work.
The book leads from attention to action, and from action back to attention.
It asks how meaning can become a reproducible way of acting, learning, repairing errors, and continuing work.
Interested? Learn the BOIS cycle!
BOIS is a cycle for disciplined reasoning and action under incomplete knowledge:
Attention → Knowledge Gap Area → Valuable Gap → Valuable Question → Protocol → Next Step → Execution → Experience → Feedback and Selection → Verified Result → Instruction → Physiology New → Attention
The cycle keeps facts, messages, hypotheses, conclusions, decisions, and open questions in their own places. It gives uncertainty a working form: not a fog, but a field of questions, tests, results, and next actions.
Attention → Knowledge Gap Area → Valuable Gap → Valuable Question → Protocol → Next Step → Execution → Experience → Feedback and Selection → Verified Result → Instruction → Physiology New → Attention
The cycle keeps facts, messages, hypotheses, conclusions, decisions, and open questions in their own places. It gives uncertainty a working form: not a fog, but a field of questions, tests, results, and next actions.
The current public edition includes:
- An introduction to the filomic approach
- The BOIS cycle
- The Pravda project
- M1/M3 as reasoning machines for AI and memory substrate
- Tables, procedures, and project structures for further work
