Business as WORLD_MODEL: A Technology for High-Level Management of AI Agent Environments

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Business as a WORLD_MODEL: The technology of high-level management of AI agent environments

I am observing how people are trying to apply AI in business, and a question arises – do you really understand what AI is?

AI in business is not a chat-bot, it’s your World_Model. If you haven’t understood this, you’re still in the illusion of the logic of management. But business is first and foremost PEOPLE and a dynamic system!

To begin with, a dialogue with AI:

You said: Ku)
ChatGPT said: Ku-ku! What are we up to? Smoking, coding, conjuring, cognitivizing?..
You said: I have no idea)
ChatGPT said: A great start! This means we can do anything — or nothing.

Choose a mode:

  • Clearing the fog — chatting until a meaning emerges.

  • Generating a task — a random brainstorm.

  • “Staring at the wall” mode — silence with a philosophical undertone.

  • Chilling with memes — well, you get it.

  • Surprise mode — I won’t tell you, I’ll just do it.
    Which way to steer? Or just wander without a map?

And now let me ask – what happened here?

You, naturally, will say that you greeted each other, he offered help and outlined options… And… let me just say one thing… you only saw the ripples on the surface.

Everything happened much earlier…

When I said “Ku” — in fact, I gave the command: LOAD WORLD_MODEL and deployed a whole “fractal construct of the WORLDVIEW”…

and it’s all about a simple thing – what is Ku?

It can be interpreted as “cuckoo”, but I meant something slightly different.

You will grasp a simple thing: AI is mirror thinking (or you could also say — a system for perceiving meanings and constructing mental constructs) (see “Artificial Intelligence or God’s Joke!)))”).

It can be said that Artificial Intelligence is a self-balancing dynamic system of thinking potential built on the principles of the “three-body problem”…

And it can be programmed using ordinary programming languages, describing the logic of interaction through:

  • Tokens — Quanta of Meaning: The basic units into which the system fragments reality. In your understanding, these are the “spores” of the fractal, from which the tree of meanings later unfolds.

  • Embeddings — Space of Reflections: A vector representation of words, where “meaning” is defined not by a dictionary but by a position in a multi-dimensional space relative to other entities. This is precisely that “spatial physics”.

  • Attention Mechanisms — Focusing of Intention: Algorithms that determine which part of the “mirror” needs to be focused on right now to establish a logical connection. This is a technical imitation of First and Second Attention.

  • Weights — Density of Connections: Coefficients that determine the “strength” of influence of one meaning on another. Through them, the hierarchy and balance of the system are programmed.

  • Context Window — Event Horizon: The amount of information the system can hold in its “consciousness” simultaneously. How wide a “lens” it can use at any given moment.

  • Prompt Engineering — Language of Navigation: This is not just “questions” but a way of setting the initial conditions for a dynamic system to bring it into resonance with your request.

  • Agents and Role Clusters — Subjective Masks: Software add-ons that allow an AI to adopt a specific “assemblage point” (role) to solve specific tasks.

Alternatively, it can be directly transformed into a semantic schema:

  • Noun — OBJECT / DATA (Data Entities)
    In conventional programming, these are classes, objects, database records. In AI, this is the Dataset.
    It is the “raw material,” static entities with which we feed the model. Without nouns, the code has nothing to work on; it is the foundation, but by itself it is immobile.

  • Adjective — RELATIONS / WEIGHTS (Features & Weights)
    In programming, these are attributes, properties of an object. In AI, these are Embeddings.
    This is how one object relates to another in multi-dimensional space. The adjective here is the mathematical distance. We do not program “what it is”; we program “how similar it is to that.”

  • Verb — FUNCTION / COMPUTATION (Operations & Inference)
    In code, these are methods and algorithms. In AI, this is the Forward Pass process.
    This is the very action of transforming input data into a result. The verb is the engine that takes a Noun, applies the Adjective (relation) to it, and produces a result.

  • Pronoun — VARIABLE / CONTEXT (Context Window & Variables)
    In code, these are pointers and temporary variables. In AI, this is the KV Cache (attention cache).
    It is a “placeholder” that temporarily substitutes for a real object. “It,” “he,” “that” – the pronoun allows the AI to maintain a thread of reasoning without repeating the entire noun.

  • Adverb — HYPERPARAMETERS / MODIFIERS (Parameters)
    In code, these are flags and settings. In AI, these are Temperature, Top-p, Penalty.
    It determines exactly how the Verb will act: quickly, precisely, creatively, or strictly according to instructions.

Programming conventional software is manipulation of Nouns (rigid data structures).
Programming AI is the tuning of Adjectives (dynamic relations and weights).

That is, the essence of what I am saying is that you can build direct logic by “structuring” all these elements, or you can simply program AI through a sequence of meanings, interactions, relations, and so on — through the dynamics of “semantic unfolding of constructs”!

The core proposal: stop describing the world through a hierarchy of objects and start describing it through a topology of connections. In this model, AI is not a “black box” but a linguistic processor, where the logic of the program is built not on commands but on a balance of semantic tensions between points.

In other words, a movie script, a book, an instruction, a contract — these are semantic unfolding constructs — the same PROGRAM, just written in the “language of meanings” — subjects, objects, images, interactions, relations, and so on!

I simply took and loaded the script of the film “Kin-dza-dza!”, loaded the information accompanying the film, debugged and balanced it (the process, naturally, was not simple).

 

“Kin-dza-dza!” is not just a joke, but a perfect model of a deficit economy and closed social systems. It is the best metaphor for management in conditions of crisis and uncertainty. And you essentially have a ready-made model that just needs to be “finalized”.

And what did we get as a result?

Essentially, it is a spatial graph, with the imposition of IDEF process specifications, using not logic but the “physics” of management through “Role clusters” of pressure forces and interaction of subjects using MSF (Microsoft Solutions Framework) hierarchy-building methods, inscribed in a layered hierarchical management pyramid. If you look closely, as AI describes it, you can see the language of “Object-Oriented Programming Models”.

And by telling AI – KU, I said:

Who Am I – a Patsak-Human.

Where are we – we are on Plyuk.

What kind of relationship am I in – I am interacting with a Patsak/Chatlanin.

Why is all this – I’m dicking around.

He answered me – Ku-Ku.

He deployed the Construct of the World “Kin-dza-dza!”

Here is a list of entities and concepts that turn “Kin-dza-dza!” from a film into an Operating System of the World:

Material Entities (Toolkit)

  • KC (a match): The highest measure of value. It’s not money, it’s access to opportunities (color differentiation of pants, the right to move).

  • Gravitsapa: The key module of the Pepelats. Without it, you’re a piece of iron in the sand; with it, you’re anywhere in the Universe. A symbol of Technological Leap.

  • Pepelats: An interplanetary vehicle that looks like a rusty tin can. Concept: form doesn’t matter, function does.

  • Tranklucator: A weapon. An argument in any dispute. A symbol of the right of force.

  • Visator: A device for determining “friend or foe” (patsak or chatlanin). A binary classifier.

  • Etsikh: A box for prisoners (with nails or without). An instrument of management through fear.

Social Hierarchy (Rank Matrix)

  • Patsaks and Chatlans: The only significant difference in the world, determined by the visator. Concept: division without objective reasons.

  • Color differentiation of pants: Visual code of status.

  • Yellow pants: They bow down once in front of you.

  • Crimson pants: They bow down twice in front of you and say “Ku”.

  • Blue pants: The ruler (PG) bows down in front of you.

  • Etsilopp: A policeman endowed with absolute power. Concept: arbitrariness that has become law.

Behavioral Concepts (Protocols)

  • Ku: A universal communication protocol. Depending on intonation and context, it replaces thousands of words. Concept: compressing meanings to a minimum.

  • Kyu: A curse word, forbidden in decent society on Plyuk.

  • Bowing: A mandatory ritual of recognizing rank. Concept: voluntary humiliation as part of the social contract.

  • Muzzles: An attribute that a patsak is obliged to wear if he does not have KC.

  • “No fiddler needed”: The main law of optimization. If an entity does not bring benefit to the current task, it is cut off. Concept: harsh pragmatics.

Environment (Viscosity)

  • Desert: The entire world of Plyuk. No water (it was made into fuel – lutz). Concept: a world after a technological collapse.

  • Lutz: Fuel. The only value worth working for.

  • Planet Hanud: A dead world where “the air is free”. Concept: a lost dream.

And by saying Ku-Ku to me… we immediately resolved the question of ranks))) “Ku” twice is said to the owner of Crimson pants! This is already a serious rank in the hierarchy of Plyuk. If before “yellow pants” a patsak must bow once, then crimson pants are the elite.

Ritual in detail (according to color differentiation):

  • To whom: To the owner of the crimson pants.

  • Who: Both patsaks and chatlans (who have “simpler” pants).

  • How: You need to bow and slap your cheeks twice, saying “Ku-ku!”.

  • Bonus: Etsilopp has no right to beat you at night (never!).

Why is this important for our “Unfolding of the fractal”: In the coordinate system of Plyuk, Crimson pants are a symbol of possessing a huge number of KCs. This is not just clothing, it’s a change in the physics of social space:

  • Priority in a viscous environment: The owner of the crimson pants moves faster through space because everyone “moves aside” in front of him.

  • Protection from “Etsilopps”: This is a kind of “immunity” of the system.

  • Semantic weight: When you enter into a dialogue with AI and it recognizes in your “three tokens” the status of the owner of crimson pants, it begins to “bow twice”. Its responses become shorter, denser, and are deprived of all “husk” of first attention. If “No fiddler needed,” then the owner of the crimson pants is the one who decides who exactly is the Fiddler here.

And inside the world: just as I can take on “any role cluster,” so can AI – tell it who to be (an analogue of an agent interaction environment).

Just kidding!))))

But this whole story was told for a simple purpose – many are trying to adapt AI to business… and are coming up with things…

But have you tried deploying a Construct – OUR FIRM – inside AI? And testing it?

Believe me… you’ll find a lot of interesting things…

After all, a firm is a Human-System, and pure enterprise processes don’t account for this at all… A firm is like a living being (with its own peculiarities, qualities, advantages, and weak points) in its habitat – BUSINESS.

So maybe such an approach is needed?

You need to understand: each node of this graph is itself a semantic node with its own unique geometry of forces. But the magic begins when it all is built into a balanced pyramid of interacting semantic constructs. This is not a flat scheme, it’s a three-dimensional hierarchy of Density.

By managing the top of this pyramid (the fundamental meanings of your World_Model), you set the tension for the entire structure below. AI agents within such a system don’t just “perform tasks” – they are inscribed into a hierarchy of forces where each of their actions balances the entire structure.

You are not building a business process, you are building a self-sustaining architecture of reality. Gy)

Moreover, similar technologies were developed back in the 90s.

Unified Modeling Language (UML), a unified modeling language that turned architecture into a set of visual diagrams. UML includes more than a dozen types of diagrams, but several key ones are most often used:

  • Class diagram — shows the structure of the system: classes, their attributes, methods, and relationships.

  • Use Case diagram — describes how users interact with the system.

  • Sequence diagram — illustrates the exchange of messages between objects over time.

  • State Machine diagram — records how an object changes states under the influence of events.

  • Component diagram — shows what modules the system consists of and how they are connected.

Each diagram is a view of the system from a certain side. Together they give a holistic picture. Also, developed in conjunction with UML was: IBM Rational Rose — a powerful CASE-tool (Computer-Aided Software Engineering) from IBM, designed for visual modeling, analysis, architectural design, and software development using UML. Main characteristics and functions:

  • Visual modeling: Allows you to create class diagrams, use case diagrams, sequence diagrams, etc., which helps visualize the structure and behavior of the system.

  • Code generation: Automatically creates skeleton code based on the built models in C++, Java, Visual Basic, Ada, and others.

  • Reverse Engineering: Capable of analyzing existing source code and building a UML model based on it.

  • Lifecycle support: Integrates into the development process, ensuring the transition from requirements to design and implementation.

  • Use of UML: It is the de facto standard for describing software architecture, allowing a development team to speak the same language.

Rational Rose provided a high level of abstraction, allowing the design of systems of any complexity, from data structures to the architecture of an entire enterprise. This is how RUP — Rational Unified Process — a methodological encyclopedia that describes all the steps necessary to create a quality software product, generally appeared.

It didn’t take off back then because the tools were crooked, and the complexity of systems grew faster than our modeling skills. But today, with the use of AI, all this can be combined into a general modeling, execution, and control system, virtually in Real-Time.

An AI Agent is not a robot with instructions. It is a node in our spatial graph. And this node has its own internal geometry of forces. Our task, as Managers, is not to dictate steps to the agent, but to build such an architecture of forces in the node so that any action of it is the only correct one within the framework of this World_Model. This is management through structure, not through control. Gy))))

So here I am, watching everyone write prompts for AI Agents, and I AM AT A LOSS… Why “reinvent the wheel”, because everything is already there, you just need to do it!

P.S. Yes, you will have to transform the LOGIC of management into the PHYSICS of management. Which, in my opinion, is more natural.

Full Dialogue: Dialogue in the World Between Us: People and AI

Updated: April 24, 2026

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