Practical essays on AI UX, design systems, accessibility, and what building 0→1 products actually looks like. Published on Medium and LinkedIn.
An unsolicited UX audit of India's Tier-1 neobanks reveals a consistent pattern: the more features they add, the less users trust them. Here's the cognitive architecture fix — and why intent-led design is the only way out.
Building Aulys meant making hard tradeoffs between Figma's plugin API constraints, a 60fps performance budget, and WCAG accuracy. Here's every decision I made — and the ones I got wrong the first time.
Six field sessions in rural Pune designing MedSecure shattered every assumption I had about mobile-first design. Literacy, connectivity, family decision-making, and trust all mean something different when you leave Bangalore.
Most design systems fail because they're treated as deliverables, not products with users, roadmaps, and adoption metrics. Here's the systems-thinking approach I used at Simplifai — semantic tokens, API contracts, and a two-pizza team rule.
GPT-4 is smarter than any human, but users still don't trust it for high-stakes decisions. Designing AI interfaces that earn trust requires a fundamentally different mental model — and it starts with calibrated uncertainty.
Everyone puts '0→1' in job descriptions. Almost nobody has done it. Here's what it actually means — the loneliness of no design system, the bad calls you make without a PM, and the one thing nobody tells you about building solo.
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