Frame the decision
Define the decision object, objective, owner and consequence at stake.
DCG Architecture
Turn complexity into a governed chain of consequence.
The DCG architecture carries a decision from fragmented evidence to a living model, from future-space to leverage, and from legitimate action to structural learning.
Public operating pipeline
Thirteen governed moves from the decision frame to structural learning.
This is the public workflow. It explains the function and decision boundary of each stage without exposing proprietary scoring, weights or internal model mechanics.
Set boundary and horizon
Specify system boundary, scale, time, observer and exclusions.
Normalize the geometry
Create a comparable structural frame without reducing domain meaning.
Map the system
Actors, states, forces, constraints, couplings, feedback and delays.
Form causal hypotheses
Identify causal bits and the claims that would update the model.
Triangulate
Test across sources, domains, scales and temporal windows.
Read the field
Entropy, tension, resistance, propagation and active regime.
Construct future-space
Conditional branches, thresholds, indicators and inaccessible paths.
Classify futures
Accessibility, reinforcement, dominance, avoidability and irreversibility.
Locate leverage
Distinguish structural leverage from visibility, centrality and force.
Design the portfolio
Intervention, delay, experiment, buffer or deliberate non-intervention.
Govern authorization
Mandate, admissibility, execution constraints and consequence ownership.
Monitor and learn
Observe propagation, adaptation, surprise and model revision.
Five public layers
A simple architecture over deep causal reasoning.
Reality
Evidence & Dossiers
WHAT IS OBSERVED
Living Ontology
WHAT EXISTS & CHANGES
Causal Geometry
HOW IT CONNECTS
Dynamics
Feedback & Delay
HOW EFFECTS ACCUMULATE
State & Regime
WHAT CONDITION IS ACTIVE
Structural Tension
WHAT IS PRESSURIZING
Power
Actors & Agency
WHO CAN ACT
Spectral Governance Model
HOW COERCION, RESOURCES & LEGITIMACY CONVERT
Governability
WHAT CAN BE INFLUENCED
Futures
Conditional Futures
WHAT CAN EMERGE
Bifurcations & Attractors
WHERE PATHS DIVERGE
Monitoring Signals
WHAT REVEALS THE SHIFT
Action
Structural Leverage
WHERE CHANGE MULTIPLIES
Admissibility & Authority
WHAT MAY BE DONE
Decision Accounting
WHAT THE ACTION BECOMES
Four public modes of use
The same architecture can diagnose, stabilize, shape and govern.
Make the system legible
Reveal hidden dependencies, structural contradictions, active feedback and false problem frames.
Prevent cascade and loss of options
Use buffers, constraints, modularity, sequencing and non-intervention to protect system integrity.
Change what becomes likely
Redesign incentives, rules, infrastructure, protocols and coordination to alter the future production structure.
Carry authority and learning through action
Connect the intervention to ownership, review gates, adaptation signals and Structural Memory.
The executive output
Complexity in the method. Clarity at the decision boundary.
DECISION OBJECT
What is being governed?
A bounded system, objective, time horizon and decision type.
STRUCTURAL JUDGMENT
What is actually driving the trajectory?
The governing constraints, loops, power routes and regime.
INTERVENTION PORTFOLIO
Where and how should action occur?
Levers, sequencing, reversibility, non-intervention and monitoring.
ACCOUNTABILITY
Who owns the consequences?
Authority, assumptions, review gates and learning obligations.