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ASKGUA
Structure the question before asking AI.
Overview
ASKGUA translates complex inputs from Meihua, Liuyao, Qimen and Daliuren into clear, structured prompts that are easier for people to complete and for AI to interpret.
Live product data
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What it does
01—0301
Method-specific forms
Each system exposes only the inputs it actually needs, replacing an intimidating blank prompt with a guided path.
02
Structured output
Completed information is reorganized into a consistent prompt that can be copied into an AI conversation without manual formatting.
03
Clarity before generation
Labels, grouping and validation help users notice missing context before the prompt is generated.
Behind the product
PROCESS & REFLECTIONStarting point
I noticed that weak AI results often began with an input problem, not a model problem. Specialist knowledge was being compressed into unstructured sentences, so I explored whether interface design could improve the question itself.
What I learned
ASKGUA taught me to transform domain knowledge into schemas, progressive forms and reusable output rules. It also strengthened my ability to make unfamiliar information feel approachable without oversimplifying it.
How my thinking changed
The project changed how I see AI products: the interface around the model can be as important as the model. Better generation often starts with better input design.