Analysis
This article introduces an innovative approach to streamlining UI design generation with Generative AI. By defining a specialized data structure, the author aims to eliminate the ambiguity of prompts and give AI agents the ability to create more precise and reliable outputs, reducing the need for endless prompt adjustments.
Key Takeaways
- •The article proposes a three-layered data structure (Context, Implementation, State) to guide AI behavior during UI generation.
- •The 'State' layer, using structured data like JSON, acts as a Single Source of Truth to anchor and constrain the AI's 'whims'.
- •The approach aims to reduce the iterative 'AI-ガチャ' (AI gacha) and layout breakdowns caused by prompt ambiguity.
Reference / Citation
View Original"Because prompts (words) are ambiguous, no matter how carefully you write the instructions, the AI will fill in the gaps in the context with 'inference (＝reading the air)' on its own."