Trent Good

Most deep tech brands lead with complexity. Quantum breakthroughs. AI models. Patents and roadmaps. But luxury brands learned long ago that the story of craft matters more than the craft itself. Taste isn’t about elitism—it’s about restraint. It’s knowing what not to show, what not to say, and when to let silence do the work. As deep technologies like AI and quantum computing move from the lab to the world, the companies that lead will be the ones who communicate with elegance, not excess. Because when everything is powerful, taste becomes the real differentiator.

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Leveling up your design career means improving in three areas: AI tools: Assembling an evolving AI design stack to ship fast — My stack: Cursor, v0, Prismic, Magic Patterns — AI fluency: Learning how to design for unpredictable systems Human-advantage: Strengthening moats like craft, agency and judgment to stay ahead of automation Together with strategic thinking and human-centric skills, these pillars shape your path toward becoming an AI-native designer. #design #architect #AI

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The classic design process is evolving and fast. For African tech innovators, this is a wake-up call: the way we build products, design interfaces, and solve problems is changing globally. Leveraging AI, thinking beyond traditional processes, and embracing new design archetypes could be the key to creating world-class products from Africa. 🌍✨ Tech is no longer about following established playbooks, it’s about adapting, experimenting, and innovating faster than ever. #AfricanTech #Innovation #Design #AI #ProductBuilding #FutureOfWork

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This is what investing in AI in design looks like. As with many other job families, the design industry focuses on what might the impact of AI be: will it lower the quality with slop? Will it replace humans? Etc But I don't see much focus on to understand and really capitalise on the potential AI brings to design. We are largely treating it as any other tool: a way to get incrementally better. At best it's a short course for the designers, at worst it's expecting designers to already know how to use it. But AI has the potential for making radical shifts and leaps. I'd love to hear, and learn, from anyone who is making significant strides to drive AI transformation in design.

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Hot take for designers experimenting with AI + legacy systems: You don’t have to pick one AI tool and hope it integrates perfectly with your design archive. If you can get to the code, you can make it work. I’ve been testing different AI platforms for strategy and prototyping. What I realized: You can use any AI tool you’re comfortable with to think, prototype, and generate UI — as long as it outputs code. Then: 1. Copy the generated code 2. Paste it into Figma Make 3. Let Figma rebuild it using your UI/style library 4. Edit, refine, and share inside your real system That means: • Strategy can live anywhere • Prototyping can move fast • Your design system still governs the final output AI becomes a thinking partner. Figma stays the system of record. For teams sitting on years of legacy designs and wondering how to bridge that with AI experimentation — this is a practical path. #DesignSystems #AIforDesign #Figma #ProductDesign #DesignOps

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infinite canvas as the future interface for AI workflows. this is exactly what we're solving for product design teams at siltai.app. product teams waste countless hours rebuilding context because decisions are scattered across Docs, Slack, and Notion. nobody knows why decisions were made. siltai.app pulls everything into one canvas. use templates from the gallery (JTBD, Double Diamond) or save your own workflows. we're designing the boundary architecture between human collaboration and AI - one place where product context lives, both humans and AI can read it. your team stays aligned. new members onboard instantly. full reasoning trail for every decision.

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I've designed for billion-user products at Google, mobile banking at CBA, and now run a studio working across AI and Web3. The one thing that transferred across every context: taste. Not a visual style. Not a preference for minimalism or bold color. Taste as in the ability to evaluate whether a design decision is right for the specific product, audience, and moment. At Google Photos, "looks clean" wasn't a strategy. At CBA, the trust signals that worked in consumer tech fell flat. In Web3, the patterns are being written in real time. Each context forced me to recalibrate what "good" means. That recalibration is how taste gets built. Not from one project or one style, but from hundreds of decisions across different industries, users, and constraints. AI will keep making production faster and cheaper. The premium will go to designers who consistently make the right calls about what to build and how it should feel. If you want to build taste: study products outside your industry, ship work, watch real users, and seek honest feedback. It compounds quietly. But it's the thing clients pay for, even when they can't articulate why.

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