Fold vision, process, domain, state, and verification into one model — editable as text and as diagrams. Change one surface, and the other reflects it.
There's always a gap between strategy and specs on one side, and a working system on the other.
Executive intent never connects to design and code in a way you can trace.
Diagrams drift from the implementation, and eventually no one reads them.
Bound to a vendor's proprietary notation; the assets can't be taken out.
Plausible artifacts appear, but no rationale or traceable line is left behind.
The model has a single body (the SSoT). Engineers edit it as text, stakeholders edit it as diagrams — the same model. Save, and it reflects both ways.
Text editing with IDE support — completion, validation, reference resolution. For engineers.
Author with nodes, edges, and palettes. For stakeholders and review.
Not a proprietary notation — connected to industry-standard thinking. Use only the concerns your input supports.
Vision, goal, capability, role (behavior).
Concepts, attributes, references, enums.
Activities, lanes (roles), control flow.
Lifecycle states and transitions.
Requirements and verification — test, analysis, inspection.
This is the differentiator. Trace a single line of strategy all the way to the generated code and tests — the line a one-shot AI never leaves behind.
AI helps where emergence is needed; auditable tools handle where precision is needed. The roles are kept separate.
An end-to-end proven prototype. The core works; hardening and productization are ahead.
Organizations that don't want modeling divorced from design and implementation, and that want to keep the rationale behind their decisions. Teams that want their own domain language on top of standard thinking — without notation lock-in.