Guide a greenfield Event Modeling session using the 7-step methodology with Qlerify.

This command loads all relevant preferences for: Event Modeling (Qlerify 7-step methodology), functional domain modeling (DDD aggregates, Decider pattern), bounded context design (context mapping), event sourcing (CQRS, state reconstruction), EventCatalog transformation (schema documentation), railway-oriented programming (Result types, validation workflows), and algebraic laws (property-based testing).

Workflow

Phase 1: Context Gathering

If no $ARGUMENTS provided, ask the user to describe:

•The domain or business capability being modeled
•Primary actors/roles involved
•Key workflows or processes to capture
•Any known bounded context boundaries

If $ARGUMENTS provided, use that as the domain description.

Phase 2: Step 1 Brainstorming

Generate a Qlerify AI prompt for the user based on their domain description. The prompt should enumerate key events in chronological order and identify actors.

Example format:

code

Model the [domain] workflow. Include the following events:
1. [Event in past tense]
2. [Event in past tense]
...
Actors involved: [Actor1], [Actor2], Automation

Phase 3: Steps 2-7 Guidance

After Step 1 generation, guide the user through:

•Step 2 (The Plot): Verify swimlanes represent actors only, not systems
•Step 3 (Storyboard): Design form fields for each command
•Step 4 (Identify Inputs): Validate command naming matches domain language
•Step 5 (Identify Outputs): Define read models as decision-context information
•Step 6 (Conway's Law): Assign bounded contexts to aggregate roots
•Step 7 (Elaborate Scenarios): Write Given-When-Then for critical behaviors

Phase 4: Artifacts

Produce or guide toward:

•Qlerify JSON export for EventCatalog transformation
•Bounded context assignments
•GWT scenarios for property-based tests
•Implementation guidance using Decider pattern

User Input

$ARGUMENTS