Zenglin designs AI-native systems and trust infrastructure for B2B advertising platforms, from zero to scale.

Over nine years at NewsBreak, I've had a habit of showing up early to problems nobody had assigned yet — the pivot to B2B, and more recently, the pivot to AI. When our AI agent project kicked off, there was no designer on it — AI had given engineering and PM the illusion that they didn't need one, that the interaction was simple enough to handle themselves. It didn't take long to hit the questions only a designer really answers, so I asked to lead it.

I've since led the design of our B2B ad platform — not just the advertiser-facing product, but the full system behind it: internal admin tools, an agency partner portal, and the trust and review workflows that let us verify who we were actually doing business with — working closely with our Shanghai-based engineering team across time zones throughout. Along the way I've also mentored junior designers joining the team, helping them ramp into a dense, systems-heavy B2B product and holding the design bar as the platform scaled. That work, together with the AI initiatives I've led since, has driven 2x revenue growth on the platform.

Somewhere in the middle of it, I learned that AI's real bottleneck is rarely the model itself, but how clearly the problem in front of it has been framed. I see design as a bridge: finding where a problem actually hurts, and straightening out the logic underneath — whether the product on the other side is human-built or AI-native.