The Three-Layer Filter for Accurately Matching Customer Needs
AI-driven requirements validation process is recommended to address the pain point of repeated client revisions that designers often face:
- style anchoring: Utilize the application's library of 15+ style templates to allow clients to quickly confirm the tone through visual comparisons (e.g. Japanese vs. Mediterranean)
- Element Injection: Enter the keywords mentioned by the client (e.g. "want a water feature", "need a children's area") into the text description box, and the AI will visualize the abstract requirements into design elements.
- dynamic parameterization: Using the Style Tuner feature to adjust the style concentration in real time, clients can see different versions of the implementation, from conservative to aggressive.
Advanced Tip: Guide the client to identify the 3 core requirements first, and use the format "A+B+C" when generating (e.g. "gazebo + hydrangea + stone path"). In case of disagreement, use Seed values to generate multiple versions for A/B testing.
This answer comes from the articleAI Landscape: Using AI to Generate Landscape Design SolutionsThe
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