How to Run a Play
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Define the Problem Context Start with the user workflow or system pain point you're solving.
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Select Interaction Modes and Patterns Identify the relevant interaction paradigms, UI patterns, and input/output modalities from Sections I.
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Choose the Integration Approach Decide whether this Play fits as Embedded AI, Standalone AI, or Cross-System Integration.
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Map the Archetypes Specify what agents, tools, and workflows will be used.
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Set key Dimensions Explicitly define key system attributes such as autonomy level, context awareness, workflow role, trigger source, etc.
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Decide Runtime Behaviors Choose how AI will act at runtime: passive, reactive, or proactive.
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Assign Human Roles Clarify who builds, configures, and operates the system.
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Layer in Prompting & Evaluation Strategy Specify how system prompts will guide AI behavior and which evaluation methods will measure quality.
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Apply Design Considerations Ensure the Play builds trust, gives control, and fits into user mental models.
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Design Outcome Create example UI flow, system diagram, or user journey.
Play Template
Play Name:
Problem: What task or challenge does this solve?
Interaction Model: What’s the interaction model?
Integration Model: Embedded, Standalone, Cross-System?
Archetypes: Which agents, tools, workflows are involved?
Dimensions: Autonomy level, context awareness, trigger source, etc?
Runtime Behaviors: Passive, Reactive, or Proactive?
Human Roles: Who configures, operates, and interacts with it?
System Prompts: How are prompts designed to guide AI behavior?
Evaluations: What evaluation methods ensure quality and drive iteration?
Design Considerations: Key UX or system design concerns.
Example Outcome: Example diagram or flow.