A multi-LLM operating system inside a live development-finance practice. Verified files, decision logs, three independent verification loops.
Behind each value is a mechanism the client can verify in our documents.
The operating rules behind every artifact we deliver. Values say who we are; principles say how the system works.
There is no custom software: models, a folder of Markdown files, roles and procedures. Architecture determines the result, not the models. The unit of work is a verified file with sources, a version and a storage location.
One fact — one file. Raw sources, knowledge and work are kept in separate layers. A contradiction between pages is a separate finding.
Text instructions built on our documents, our mistakes and bank requirements. A role defines a standard of work, not a character.
Decisions with confidence and review dates, incidents dissected the day they happen, weekly growth reviews, monthly revisions.
Conclusions appear only after the primary materials have been read. The result always becomes a project artifact.
Not every task needs the strongest model and full verification. When the cost of error is high, no model confirms its own work.
Counter source: internal system journals, as of 25.08.2026.
At least 90% of the claims in our materials carry an origin label. Financial models pass three independent verification loops: a recalculation by a separate script, control checks in Excel, and a live test of the driving parameters.
Client, project, operator and bank names are removed. The figures come from the system's journals.
Source: system journals, W29–W35 2026. Roles are deliberately set against each other: the analyst assembles the deal, the «bank» checks the product and the collateral, the tax desk hunts for what was not modeled. Synthesis happens only after the claims are checked against primary documents.
An instruction, a mandatory context and a form of result. Eight working roles out of forty-one:
The system is described in a book and taught in a course. You can start without a separate budget or programmers.
A book on practice, thinking and the operating system of an AI practitioner. For CFOs, entrepreneurs, product managers, educators.
An author-led course: from AI tooling and file work to a knowledge graph and your own team of agents. Cheat sheets and homework with every lesson.
Launch requires no separate budget and no programmers. It takes one regular process with a verifiable result.
A payment calendar or a monthly close — a process that repeats and gets verified.
Every successful result becomes a reference standard. A new task starts from the standard, not from scratch.
A source for every figure and conclusions only after the documents. Target state: the system builds the report in your format, a human verifies the result.
Local storage and backups; the provider receives the materials of a specific task, not the whole base. Personal data and bank secrecy are minimized. Signatures, payments and outbound correspondence are performed only by humans.
Subscriptions run $100–200 per seat per month at public rates. The economic effect is measured in prevented errors and task turnaround, not in subscription costs.