v1.3
Product / Service — End-to-End Example
Entry Pattern: Greenfield | Readiness: Ready for Structuring
Human-Facing Form
> I want to create a service that prevents people from losing their intentions in AI conversations. It must be beautiful, accessible to non-technical users, not look like a dry form, yet be rigorous enough for unambiguous AI interpretation.
>
> The output should be: structured intent, cards, diagrams, and materials ready for AI consumption.
This is a meta-example — an intenture about a product built around the Intenture language itself.
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AI-Facing Canonical Form
Core Definition
Intent: create Object: Product/service for intent explication and structuring Constraints:[quality]Must be human-friendly and beautiful[quality]Must not look bureaucratic or form-like[quality]Must be accessible to non-technical users[quality]Must produce output precise enough for AI interpretation[scope]Must support different intenture maturity levels (from dream to structured)
Supporting Context
Actors:[primary]Non-technical users with ideas/intents[primary]AI systems consuming structured output[supporting]Intenture language community
[fact]AI frequently misinterprets complex intents in unstructured conversation[fact]Conveying multi-dimensional intents in chat is cognitively expensive[assumed]Users need a structured but friendly form factor
- Intent preservation accuracy
[target: TBD] - User completion rate
[target: TBD] - Time to first structured output
[target: TBD] - AI interpretation success rate
[target: TBD]
Readiness Layer
Current Lifecycle State: Structured Realization Decision: Ready for Structuring Critical Gaps:Universal CRT passed. Specialized Readiness has 1 blocking unknown:
- ❓ First scope boundary — not yet defined
Partially answered:
- Target user segments identified but not prioritized
- Success criteria listed but not quantified