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.
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]
