Context enters the model.
A situation outside becomes something the model can work with.
A shared model of your business: what matters, what's happening, who can decide, and what changes as you learn.
Explore the future of intelligent systemsA client asks for more. The deadline stays the same. Your team already has work committed. Before anyone can respond, they need to understand the promises, people and limits involved.
A business operates through relationships, intentions and commitments. Making those connections explicit gives people and machines a world they can work from.
A deadline is connected to a promise. That promise has a source, an owner and consequences. A useful response depends on understanding those connections.
The model carries what is known, how it is known, what remains uncertain and who may decide. Information becomes useful in the context of the work.
We call this a world model: one governed account of the business. It serves as an intermediary between the people and AI agents who act and the business they act in. Each of them reads it through a view scoped to their role.
It connects observations, relationships and constraints, and holds proposed next steps until someone reviews them. Computational models, including AI, can contribute estimates and proposals. Their output stays provisional until a person reviews and accepts it, and only someone with authority can make it part of the official record.
An outside situation enters a maintained representation. Relationships come into view while its shape stays fixed. The outside situation changes first; incoming evidence reveals a difference. The difference goes to someone with authority. Nothing changes by itself. They decide: bring the work back in line, or revise the model. Both paths are shown; this illustration follows the revision path. The model changes configuration and its earlier form remains in the history. The revised model informs action outside.
A situation outside becomes something the model can work with.
A situation outside becomes something the model can work with.
Connections become visible while the maintained structure stays the same.
Reality moves first. The model still holds its earlier representation.
New evidence arrives. What is represented and what has changed no longer align.
The difference is evidence for review, not permission to alter the work or the record.
Two possible responses to one decision. This illustration follows the revision path.
In this illustrated path, someone with authority decides to revise the model. Its earlier form remains in the history.
The revised model provides context for what happens next in the world.
An analyst, a manager and an assistant need different views of the same situation. Each needs relevant context and a clear scope of action.
The manager can examine commitments and decision rights. The analyst can examine the work and capacity. The assistant can prepare options for review, but cannot approve them.
The client’s expanded request becomes a new observation. Meeting it would take more work. It does not, by itself, change the agreed deadline or grant permission to spend more.
The model relates the request to existing commitments and surfaces a conflict. Possible responses carry their assumptions so someone can judge them.
A proposed response becomes a decision only when someone with the authority to make it decides, and every such authority traces back to a person. The decision retains its reason, evidence and expected consequences.
What happens afterward becomes further evidence. When the outcome differs from the expectation, no commitment, decision or official record changes by itself. The difference goes to someone with authority, who decides whether to bring the work back in line or amend the model itself. The next decision starts from that record.
This architecture is taking shape through published research, an open specification, formal work and a public demonstration. Each provides a different kind of evidence.
The World Model Initiative is the founding research program of GrytLabs Research Institute. It advances a single finding: governance is a completeness problem, not a capability problem. The volume establishes that finding in the strict audit sense — a corroborated condition, measured against a stated standard, traced to its cause, with a demonstrated effect and a feasible corrective action.
Read the supporting research (WMI)Inspect the formal research (λ-DLP)The world model is designed to run on the Decision Lineage Protocol (DLP), an open protocol: its grammar, its transition logic, and the rules for what may cross between worlds. The specification, version 3.0.0, is published under Apache 2.0.
Read the specification (DLP)Plain-language guidance for governing any system that claims to model the world — a research substrate, an autonomous agent, a robotics platform, or an organization governing itself. It answers two questions in one move: what structural commitments does such a system need, and how do you verify each one is actually present?
View the framework (WMGF)A synthetic demonstration of a photography studio: work routed to the owner's authority, simulated decisions on record, and a client portal illustrating each party’s own view of planning, payments and delivery.
Synthetic demonstration, inspected 8 October 2026. Every person and business shown is fictional. Its decision paths and figures are authored examples, not predictions. The client portal illustrates separate client views.
Open the photography studio demonstrationOpen the client portal
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