Design for the AI-Native Era — Before Your Agents Outpace Your UX
AI-readiness audits, agentic UX, and design systems built for founders shipping with Cursor, Lovable, and autonomous agents — not generic AI startup polish.
AI-Readiness, Scored
Know if your design system survives Cursor, Figma Make, and Claude Code before it ships inconsistent UI
Agentic Trust by Design
Scope, budget, and audit-log UX for agents that spend money or touch customer data unsupervised
Built on What You Already Shipped
Polish vibe-coded MVPs from Lovable, Bolt, and v0 into something investors take seriously
Trusted by AI startup founders & design leaders at product-led SaaS companies
The brands and organizations we’re privileged to work with.
Not Ready for a Call? Get a 90-Second UI Audit Instead
FlowAudit runs an AI-powered UX review on your worst-performing flow—signup, pricing, onboarding, or checkout—and hands you a prioritized fix list. No consultant. No kickoff call. No PDF that lives in a folder forever.
1 free audit. No credit card. Results in under 90 seconds.
AI Startup Design Blog
- If Your Product Dies When a Model Sneezes, You Don’t Have a ProductAnthropic’s Claude Sonnet 5 launch and export-control drama just handed founders a blunt lesson: if one model outage can wreck your UX, you’re not building a product—you’re hanging a UI on someone else’s infrastructure. Here’s what to fix this week.
- Figma Config 2026 Just Raised the Bar Nobody Needed RaisedFigma’s Config 2026 introduces game-changing features like Code Layers, Figma Motion, and generative plugins that enhance design workflows and collaboration. However, founders are cautioned against losing focus on core user experience issues, such as optimizing onboarding processes. While these updates improve operational efficiency, they should not distract from the essential iterative development and user feedback needed for product success.
- Episodic Design Is Killing Your Product’s Compounding GrowthMost AI founders hire designers for sprints and wonder why their product never develops a coherent system, a consistent quality bar, or design decisions that compound over time. The sprint model is the right tool for the wrong problem. Here is what continuous embedded design actually unlocks — and when the retainer model becomes the smarter commercial decision.
Ready to Compress Your Design Cycle?
Let’s talk about your roadmap and how rapid, metric-driven design can save 8-12 weeks of dev time.

















