Analysis
This innovative approach tackles the challenges of prompt engineering by defining a dedicated data structure for AI agents. By structuring data into Context, Implementation, and State layers, developers can exert greater control over the AI's output, leading to more predictable and consistent results in UI design. This method promises to streamline workflows and reduce the frustrating "AI-ガチャ" effect.
Key Takeaways
- •The article proposes a 3-layer file structure (Context, Implementation, State) to constrain AI's inference and improve consistency in UI design.
- •The 'State' layer, using structured data like JSON, acts as a Single Source of Truth, allowing for precise control over AI's actions.
- •This approach aims to reduce the variability associated with Generative AI and streamline the development process.
Reference / Citation
View Original"Because, to give AI no chance to 'inference,' I decided to define the source file itself into the following 3 layers."
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