Optimizing the AI Ideation Process

Sharing my experiences with AI tools in practice after a year of working as an independent designer has been enlightening. While I've encountered some limitations in integrating these tools into my process, I've also made significant progress.

For those beginning to fold AI into their workflow, I've put together some tips that provide a solid foundation for organizing one's approach. Although some points may seem remedial, they're essential for beginners.

As a designer of more than 20 years, with 15 years of experience designing home appliances, I evaluated the technical feasibility of AI-generated output using a simple product - the toaster oven. It's a product I use almost every day, from air-frying to reheating pizza to toasting bagels.

Correction time! I need to rectify a mistake I made in the AI Ideation slides I shared last week. I learned that Midjourney uses a latent diffusion model, not generative adversarial networks. I didn't think the distinction mattered for industrial design ideation, but it turns out it does! I have added some additional slides to reflect on what I have learned. Also, let's connect and keep the engaging conversations going.