Who's behind AI Adopt.

I'm an engineering manager and ex-startup founder based in Tel Aviv-Yafo. I've spent most of my career leading and growing engineering teams — through hypergrowth, through uncertainty, and through every flavour of reorg that comes with both.

Before going deep on engineering management, I led the Growth team at Riverside, the podcast and video production platform. I'm currently an engineering manager at an AI-native company. I'm also a YC Startup School and Starta Accelerator alum, and I've spoken at developer conferences on topics like JavaScript event loops and engineering culture.

Alongside AI Adopt, I publish engineering-management essays under the High Outputbanner — the name echoes Andy Grove's High Output Management, which is still the best operating manual for managers I've encountered. The writing covers people management, product-engineering dynamics, and practical AI leadership.

The conversation around AI at work is dominated by two camps: breathless hype that overstates everything, and defensive skepticism that understates it. Both camps miss the operational reality: most teams have access to good tools and aren't using them well, and the bottleneck is usually not the technology.

The bottleneck is leadership clarity, workflow redesign, habit formation, and governance — the human and organizational side. That's what AI Adopt is built to address. The free assessment tool gives you a concrete starting point. The blog covers the non-obvious stuff. The course, when it launches, will be a structured path through all of it.

This is independent work. No vendor affiliation, no sponsored takes.