AI-powered website prototypes using Figma

Builiding my Web with Artificial Intelligence

- The episode, presented by Andrés Díaz, explores using AI to power website prototypes in Figma, blending AI speed with human creativity to generate copy, layouts, and components for faster, more cohesive prototypes. - Prototyping with AI aims to amplify the designer’s approach (not replace them): AI can propose layouts, copy, palettes, structures, and microinteractions; it creates dynamic wireframes that adapt to business goals and audiences, turning ideas into interactive prototypes for testing. - Data and benefits: studies show interactive prototypes improve understanding and reduce development iterations; AI helps create realistic mockups and can increase tester adoption by providing a tangible guided experience from the start. - Hosting plug: a mention of Hostinger as a reliable hosting option with AI-powered site building, domain sales, and affordable pricing. - Step-by-step guide to building AI-powered site prototypes in Figma: 1) Define objective and audience: identify the problem, user actions, key messages, and success criteria. 2) Sketch wireframes with AI: generate several variants for different page types and compare options quickly. 3) Structure and components: set up frames for desktop/mobile, typography, palettes, reusable components, and a clear user flow with Auto Layout. 4) AI-generated content: use AI to create copy, headlines, FAQs, and adjust tone for consistency; consider accessibility variants. 5) Visual design with AI and human input: blend AI images with hand-crafted graphics, add subtle design details focused on clarity and conversion. 6) Prototype and test: link screens, add transitions, run quick usability tests, and identify value vs. noise. 7) Data-driven iteration: repeat with new variants, measure metrics (reading times, CTA clicks, interaction rate), and prioritize improvements. - Listener questions to engage audience: which part costs the most (objectives, AI content, or prototyping), what AI tools have been tried, and interest in ready-to-use Figma templates. - Fun facts and tips: some companies run AI-generated prototypes for A/B testing to validate hypotheses cost-effectively; prototypes should adapt to real devices and scenarios (e.g., poor connectivity, accessibility needs) for better improvements. - Mid-episode practical tip: build a library of design patterns and use AI to generate variations of those patterns to speed testing of sections like image carousels, feature tables, and CTAs. - Quick accessibility note: consider adding AI-generated alt texts to images to improve stories for users with visual impairments. - Updates and trends: Figma is expanding AI integrations for structure, copy, and visuals; communities discuss dynamic content generation, personalized styling, and adaptive prototyping flows; plugins connect HCI content repositories to maintain coherence across prototypes. - Final call to action: produce an initial AI-assisted prototype in Figma within the week by defining the objective, generating 2–3 variants, selecting one, building an MVP, then testing and noting three learnings. - Closing: thanks for listening, invitation to subscribe and share, contact info ([email protected]). Remeber you can contact me at [email protected]