Figma launches intelligent design kits, Google expands Gemini API pricing options, and free video generation arrives for creators.
Today in AI Products
| Apr 2 |
Make Kits and Make Attachments Bring Real Components into Prototyping
Figma introduced Make kits and Make attachments that let designers start prototypes directly from existing components, data, and design constraints. This eliminates the friction of building from scratch and keeps prototypes grounded in actual design systems and constraints. Source →
Designer's Takeaway: Apply this by auditing your design system documentation. The more structured your component library and usage patterns are, the more value your team gets from AI-assisted prototyping that respects real constraints.
Pattern: Contextual Assistance
| Apr 2 |
Flex and Priority Tiers Balance Cost and Performance
Google introduced two new inference tiers for the Gemini API: Flex for cost-conscious users and Priority for latency-sensitive applications. This gives developers granular control over the speed and expense tradeoff when building AI features. Source →
Designer's Takeaway: Notice how this pricing structure mirrors real user needs. When designing AI features, consider offering users or teams explicit control over response time expectations rather than forcing them into one-size-fits-all performance tiers.
Pattern: Autonomy Spectrum
| Apr 2 |
Video Generation and Custom Avatars Now Free with Lyria 3 and Veo 3.1
Google added high-quality video generation at no cost to Google Vids and introduced avatar customization through natural language prompts. Users can now direct AI-generated characters without coding or complex interfaces. Source →
Designer's Takeaway: Consider how natural language becomes a bridge between intent and output. By accepting plain prompts instead of form fields or parameter adjustments, you reduce cognitive load for creators unfamiliar with video production.
Pattern: Conversational UI
| Apr 2 |
OpenAI Acquires TBPN to Expand AI Dialogue in Media
OpenAI acquired Threads, a publishing and discussion platform, to deepen conversations around AI with builders, businesses, and the broader tech community. This moves beyond product to foster informed discourse. Source →
Designer's Takeaway: Think beyond your product interface. Building spaces where users and stakeholders can share perspectives on how AI fits into their work builds trust and surfaces real pain points that no feedback survey can capture.
Pattern: Feedback Loops
| Apr 2 |
Pay-as-You-Go Pricing Arrives for ChatGPT Business and Enterprise
OpenAI added flexible, usage-based pricing to Codex for ChatGPT Business and Enterprise customers, letting teams start small and scale adoption without large upfront commitments. Source →
Designer's Takeaway: Apply this pricing model when designing onboarding for enterprise AI features. Removing friction from the commitment stage lets teams experiment, build confidence, and organically expand adoption.
Pattern: Progressive Disclosure
Today's Takeaway
AI Tools Are Maturing Into the Real Workplace
This week's updates show AI moving past novelty into practical integration. Figma grounds prototyping in design systems, Google offers fine-grained control over performance and cost, and OpenAI removes barriers to enterprise adoption. The pattern is clear: successful AI UX doesn't just get tasks done faster, it respects constraints, lets users calibrate expectations, and integrates with existing workflows rather than demanding teams start from scratch.
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