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Reshaping productive workflows— integrating UX and AI

Marcos Rezende
UX Collective
Published in
10 min readAug 31, 2023
Workflow representation, including icons to represent AI capabilities.
Image: Miro / Edited by Marcos Rezende

As rapid technological advancements shape the digital landscape, combining various cutting-edge technologies holds great potential for revolutionizing workflows.

Conventional workflows can be inflexible, involving manual procedures that can take up a lot of time and be susceptible to mistakes. In contrast, generative AI models can contribute to making workflows increase efficiency.

In this article, we will explore how combining generative AI techniques can reshape workflows and improve user experiences, covering AI concepts, their applications, and the implications for UX.

Revealing the Potential of Prompt Diffusion Models

Imagine describing a visual element to a system using text, and the system generates the corresponding image. Describing desired visual aspects of the system results in the prompt generation of their corresponding visual representations. This saves time and effort compared to creating the image manually.

Diffusion models, exemplified by innovations like Stable Diffusion and Midjourney, have revolutionized the generation of high-quality images based on textual prompts and have significant value in design workflows.

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