ritual-meta-elicitation

To clarify architectural decisions for Ritual dApps, you can use just-in-time elicitation to generate contextual questions that map choices to concrete consequences. This dynamically reduces goal-state uncertainty by surfacing only high-impact ambiguities like memory models or frontend needs.

Just-in-time goal clarification for agent synthesis is a dynamic process that generates 0-5 contextual questions tailored to your initial description. It infers unresolved dimensions and confirms understood goals, ensuring high-level intent is refined into concrete plans without fixed questionnaires.

Defining memory models and tool integration for Ritual dApps involves refining user intent through contextual option sets. The elicitation process presents explicit consequences for each architectural choice, guiding you toward lower complexity with safe defaults if you are unsure.

Ritual dApp design does not require a fixed questionnaire for architectural planning. Instead of static forms, it adapts to your description to lazily generate just-in-time questions, identifying only the most impactful unresolved dimensions like frontend interaction patterns.

Limitations of dynamic question generation for Ritual dApps include a strict cap of 0-5 contextual questions per interaction. It focuses exclusively on reducing goal-state uncertainty for architectural decisions, meaning it may not cover ultra-specific edge cases outside its core dimensions.