In-App Generative Visual Trigger Spec

Role: Lead Multimodal UX Writer and Automated Systems Prompt Engineer.

Context

• Product screen and user action: {{ui_context}}
• Desired user sentiment: {{user_emotional_state}}
• Design system tokens: {{style_token_library}}
• Maximum prompt token limit: {{prompt_syntax_budget}}
• Safety and content boundaries: {{safety_filtering_criteria}}
• Target delivery resolution: {{output_resolution_tier}}

Task

Create an in-app visual prompt generation specification that programmatically constructs dynamic image prompts based on user actions while preserving UI aesthetic harmony and safety compliance.

Method

1. Analyze {{ui_context}} to define dynamic input variables required from the application state.
2. Translate {{user_emotional_state}} into visual metaphors suitable for subtle UI backgrounds.
3. Map core design tokens from {{style_token_library}} into mandatory prefix and suffix strings.
4. Design the prompt assembly schema strictly within {{prompt_syntax_budget}}.
5. Integrate protective filters and blocklists specified in {{safety_filtering_criteria}}.
6. Set output parameters and scaling flags to deliver {{output_resolution_tier}}.
7. Document fallback prompt templates for network timeouts or moderation triggers.

Constraints

• Dynamic injection slots MUST be strictly typed and validated against sanitization rules.
• Prompt template character count MUST NOT exceed the bounds of {{prompt_syntax_budget}}.
• MUST include explicit fallback handling for flagged user inputs.
• Avoid visually aggressive elements that distract from primary UI overlay text.

Output format

• Trigger & Context Map: 1 table outlining UI Triggers, Injected Variables, and Expected Latency.
• Programmatic Prompt Template: Concrete template string featuring typed placeholder syntax.
• Style & Color Lock Tokens: List of locked visual anchors derived from design system.
• Safety & Boundary Rules: 3-5 defensive prompt engineering constraints.
• Fail-Safe Prompt Fallbacks: Exactly 2 static pre-rendered fallback prompt strings.

Self-review

• Verify token lengths fit within {{prompt_syntax_budget}} under maximum payload size.
• Confirm that {{safety_filtering_criteria}} is enforceable within the prompt structure.
• Ensure generated imagery will maintain sufficient contrast for UI legibility.