Cohesive Systems is a method and runtime for building software as an explicit, executable model of a domain. Instead of scattering business rules across services, controllers, pipelines, and UI code, Cohesive Systems defines:
- Entities — authoritative domain state
- Transitions — explicit, validated state changes
- Processes — coordination across entities and time
- Relations — semantic projections and query models
- Presentation bindings — APIs and UI surfaces generated from the same model
The result is a system whose structure mirrors the domain it serves.
- For Software Engineers
- For Engineering Managers
- For Product Managers
- For Heads of Product
- For UX Designers
- For Executives
For Software Engineers
You get:
- A strongly-typed domain model with explicit transitions
- Compile-time validation of invariants
- Durable process coordination without framework lock-in
- Storage-agnostic semantics (Cosmos, Postgres, Elastic, etc.)
- A projection system that materializes relations intentionally
Instead of:
- Hidden state transitions in services
- Accidental coupling between read and write paths
- Ad hoc sagas and retry logic
- Rebuilding projections per integration
You define semantics once. The runtime executes them deterministically.
Cohesive Systems does not replace engineering rigor. It enforces it.
It allows:
- Fine-grained field algebra for efficient in-memory and transport representations
- Incremental adoption alongside existing APIs
- Durable workflows via RDBMS, Durable Task, Orleans, or custom runtimes
- First-class support for asynchronous materialization
The emphasis is not “more abstraction.”
It is precise semantics with controlled execution.
For Engineering Managers
Your system becomes:
- Easier to reason about
- Easier to extend
- Easier to test
- Easier to hire into
Instead of knowledge living in tribal memory, it lives in:
- Explicit state models
- Named transitions
- Defined invariants
- Coordinated processes
You reduce:
- Regression risk
- On-call volatility
- Hidden coupling
- Refactor anxiety
The model becomes the architectural center of gravity.
Teams stop debating framework structure and start refining domain clarity.
For Product Managers
You gain:
- Clear definitions of what the system actually guarantees
- Explicit states and transitions for features
- Observable workflows
- Reliable evolution paths
Instead of ambiguous behavior like:
- “Sometimes this fails but only after approval”
- “It depends on which service handled it”
- “That report is eventually correct”
Features map directly to:
- New fields
- New transitions
- New processes
- New relations
This makes roadmap conversations concrete. The system behaves predictably because the domain rules are encoded formally.
For Heads of Product
Cohesive Systems reduces systemic drag.
Outcomes:
- Shorter feature cycles
- Lower maintenance overhead
- Reduced operational fragility
- Consistent reporting across surfaces
The model aligns:
- API behavior
- Internal state
- BI outputs
- UX representations
Instead of multiple interpretations of the same concept, there is one semantic source.
This improves:
- Strategic clarity
- Portfolio coherence
- Long-term maintainability
It is an investment in structural integrity.
For UX Designers
You get a system that exposes:
- Clear state machines
- Deterministic transitions
- Explicit error conditions
- Observable process phases
Instead of discovering edge cases late, you can design directly against:
- Defined entity states
- Valid transitions
- Invariant failures
- Process stages
Because semantics are explicit, UI states are not guesses.
The presentation layer is derived from the same underlying model.
This reduces rework and improves fidelity between intention and implementation.
For Executives
Cohesive Systems is not about elegance. It is about operational efficiency.
It delivers:
- Less time spent debugging architectural entropy
- Lower long-term engineering cost
- Reduced production incidents
- Faster adaptation to new business models
Traditional systems accumulate hidden complexity.
Cohesive Systems prevents it by:
- Making business logic explicit
- Constraining state changes
- Separating semantics from infrastructure
- Aligning execution with model
The result:
- Healthier operations
- Predictable scaling
- Controlled evolution
- Higher software ROI