AI Practices
Over the past few years, I’ve integrated various AI tools into my design workflow.
While AI is still a limited and imperfect technology, it’s become a valuable brainstorming and research partner, helping me flesh out ideas and explore them more quickly.
Lately, I’ve been creating and using Claude Skills for tasks related to brand and content pillars, content strategy, and LinkedIn posts. I believe AI is a powerful tool, but we must remain the drivers, using it with clear intention and direction.
I’ve enjoyed experimenting with Midjourney for image creation and trying out different platforms for vibe coding. Although AI prototyping has its place, nothing compares to hands-on work in Figma when it comes to truly thinking through design challenges.
Here are some of the ways I use AI in my design practice
Process raw feedback and interview transcripts.
Identify themes and organise insights to support decision-making.
Review designs and surface potential usability and accessibility issues.
Use NotebookLM for targeted research with source-backed outputs.
Use Perplexity for broader research, with validation where needed.
Turn technical documentation into clear, actionable design briefs.
Create custom Claude skills to support tasks.
Midjourney images
AI prototyping
At Zendesk, I built a tool for the Voice of the Customer team to quickly customize the messaging widget for tailored demos, replacing a slow, manual process.
At Zendesk, and using Figma Make, I turned static mocks into a working prototype, adding components and refining the design into a realistic, high-fidelity concept.
A small side project inspired by unique YouTube sets, bringing my favorite mixes into a simple app I can use at home.
A gallery of image styles and prompts, with examples and instructions to make it easy to explore, reuse, and build on good 3D image prompts.