Rushing to high-fidelity models in today’s AI-driven world is a smart thing to do. When potential risk to user adoption demands taking a more deliberate and methodical approach to the work at hand, AI can still be exploited to investigate content strategy and user interface pattern opportunities.
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Experiment goals
Test drive some of the trending AI-powered interface design tools hitting the market to learn more about the value-add potential these tools can offer as a low-fidelity composer.
➤ Define a prompt(s) that will render 4 mobile screens intending to produce low-fidelity mock-ups
➤ Give 3 or more AI-powered design tools the same prompt(s)
➤ Evaluate the generated artifacts for value-add potential
Tools and prerequisites
This experiment focused on setting up a workflow it’s important to mention the list of tools I started with and their purpose which included:
➤ ChatGPT
➤ Stitch (Google)
➤ Grok 4 / Seedance (Abascus.ai)
➤ Uizard.ai
Getting started
The prompt I decided to use for this experiment…
➤ I asked each of the AI models above the following
[prompt]
