Integrating AI into your Design workflow
summary
Claims that designers who use AI will outpace others and that AI’s core strengths are autonomy and adaptivity; demos show concrete workflows: transcribed interviews via Otter.ai, syntheses and personas produced with ChatGPT 3.5/4 (works fast but hallucinates and needs vetting), MidJourney for storyboards and AR assets, and Uizard/Reloom plus Figma to auto-generate wireframes. ChatGPT’s 100 million users stat appears. Result: rapid prototypes and IA drafts that speed work but require human review and iteration.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 2:04Workshop goals
- 8:31What AI is and design impact
- 16:59AI limitations and ethics
- 23:25Crafting effective AI prompts
- 24:28AI in design process
- 28:46When to use AI and when not to
- 33:40AI tools for research
- 37:38Demo: Research interview workflow
- 51:02Demo: Analyzing interviews and personas
- 1:03:26Demo: Brainstorming app features
- 1:16:53Demo: Generating UI designs
- 1:34:34Q&A
related talks
39mAI & Creativity: A Designer's Journey Into the Future
25mArtificial intelligence & design: imagining the future of UX
27mThe Shape of AI : How designers integrate AI into their workflow
34mDesign in the times of AI
15mThe Evolution of UI/UX Design: Exploring Latest Trends and the Impact of AI
18mAI for UI
40mAI for UX: Using AI to Cut Costs and Time in UX
17mAI-Driven Frontend Development: Beyond Traditional
