Coffee shop order flow
Linked to Order Entry, Payment Checkout, Production Routing, Inventory Ops, and Work Items.
Mimris AI Workspace
Mimris
Keep AI-assisted project work connected to the domain model.
Link concepts, documents, decisions, work items, and implementation context so project context survives beyond individual chats and diagrams.
Coffee Shop Operations Workspace
Connected Work
Model
Document
Work item
The gap
AI can generate work. Projects still need structure.
Chats are useful for exploration, but serious project work needs continuity. Domain concepts drift, decisions get buried, documents separate from tasks, and implementation context has to be rebuilt again and again.
Connected domain models
Keep the concepts behind the work visible and reusable across documents, tasks, and implementation.
Structured documents and work items
Move from model-driven thinking into concrete outputs without losing traceability.
Persistent project context
Give AI assistance a stable workspace around the project instead of relying on one-off prompts.
Human-controlled workflow
Use AI to accelerate the work while keeping the structure reviewable and editable.
Guided proof
See a model-driven coffee-shop workflow in 10 minutes.
Start with the coffee-shop demo, inspect the end-to-end store flow, then follow how model concepts stay connected to domain documents, operational views, and work items.
-
01
Open the coffee-shop workspace.
Use the AI Workspace demo as the first evaluation path.
-
02
Inspect the End-to-End Store Flow.
Start from a concrete operating model instead of a blank diagram.
-
03
Trace its linked work.
Check links across Order Entry, Payment Checkout, Production Routing, Inventory Ops, domain documents, and work items.
-
04
Change one element.
Evaluate what context remains attached when the coffee-shop model or generated draft changes.
Use cases
First proof path: domain-heavy operations work
- Coffee-shop operations where menu, orders, payment, production, inventory, and service work must stay linked
- Internal tool planning and delivery
- Legal, consulting, and expert workflows
- Domain-heavy software projects
- Structured documentation and process modeling
Links
Public demos and source
Use the workspace demo first for the guided coffee-shop operations proof. Use the modelling app second if you want to inspect or build the underlying domain language.
Mimris AI Workspace
Primary guided proof path for connected project execution.
Public demo Press kit Feedback via Mimris issueMimris Modeling App
Deeper second step for understanding or building the underlying modelling language.
Public demo GitHub repository Feedback issueProduct views
The distinction from diagramming tools appears after the diagram
Diagrams.net helps you draw a diagram. BPMN and UML help you express known modelling languages. Mimris lets you define the domain language and keep its concepts connected to ongoing project execution.
Questions
Positioned around structure, not hype
Is Mimris a replacement for ChatGPT, Claude, Cursor, or Notion?
No. Those tools can be part of the workflow. Mimris is focused on preserving structured project context across models, documents, work items, and implementation.
Who is it for?
The current public proof path is optimized around a coffee-shop operations demo. Legal, consulting, expert-review, software, and internal-tool teams are still relevant audiences where preserving context across discovery and implementation matters.
How is it different from diagrams.net, BPMN, or UML?
Diagrams.net helps you draw diagrams. BPMN and UML help you express known modelling languages. Mimris lets you define the domain language and keep its concepts connected to ongoing project execution.
Why model-driven?
Models make the important concepts explicit. When documents, tasks, and implementation can reference the same structure, AI-assisted work becomes easier to review and evolve.