Start somewhere familiar

A pizza shop is a useful model because the operational question is immediately clear: can we serve customers? Equipment, ingredients, staffing, and utilities become the dependencies.

Can we serve customers?
├── Menu availability
│   ├── Dough
│   └── Ingredients
├── Equipment
│   ├── Oven
│   └── Refrigeration
├── Staffing
└── Utilities
    ├── Power
    └── Water

Separate a signal from its consequence

A topping shortage and a power failure might both raise an alert. Their consequences are different because they sit in different places in the dependency model.

Define a few useful inputs

Stock levels, temperatures, and staffing counts are enough to start. Write an explicit expression for readiness and change an input to see whether the result matches the operational reality.

Translate it to your environment

Replace the shop with a service or mission, and the equipment with the systems that support it. Keep the first model small enough for the people who operate it to review.

Ask the Model Agent for a draft

Describe the outcome, the dependencies you already know, and the signals you can observe. The Model Agent can propose a structure or an expression using the assigned Model Authoring package.

Review the proposed inputs and logic, inspect validation results, and test known scenarios. Keep invented assumptions out of the live model and activate a new version only after the team agrees it is useful.