Nihal Kaul is a Lead Software Engineer at Revscale AI who helps founders turn early ideas into scalable, cloud native systems through AI, product strategy, and growth execution. He’s built and shipped production software inside fast moving startups, working across distributed systems, infrastructure, and reliability to take teams from uncertainty to product market fit. Lately his focus has shifted to AI systems design and the memory layer, building persistent, context aware automation that makes products more adaptive and useful.
Past Talks
What happens when the “user” isn’t always human? As AI agents become active participants in workflows from copilots and auto taggers to decision assistants, product teams are facing a major shift: we’re no longer just building for people, we’re building with agents in mind too.
This talk explores the implications of designing products that support both humans and AI agents as active users. We'll dive into real world examples where agents consume interfaces, trigger workflows, summarize content, or act on behalf of humans and what this means for UX design, team collaboration, onboarding, feedback loops, and product metrics.
Attendees will leave with new mental models and frameworks to:
1. Design for dual audiences (human + agent)
2. Embed agent aware UX into product roadmaps
3. Anticipate and test agent behaviors in product feedback cycles