Blog
Things I think about: AI products, growth, voice interfaces, and building from zero.
The AI Product Manager's Survival Guide
What I've learned shipping AI products at scale and why most AI PMs get it wrong.
The Experimentation Framework That Actually Works
How I built an A/B testing platform that 10+ teams actually use and the mistakes that almost killed it.
The $5M Build vs Buy Decision: A Framework for When Vendors Fail You
How I killed a vendor contract and built an enterprise AI platform in-house and the framework I wish I had before wasting three months on evaluations.
From 0 to 2.5M Users: What Nobody Tells You About Scale
The hard part isn't technical. It's getting 10 teams to agree on what success means.
Why I Build Platforms, Not Features
The difference between solving one problem and solving categories of problems.
I Evaluated 8+ Voice AI Vendors. Here's How I Would Decide What to Build vs Buy.
A practical breakdown of what to look for when choosing voice AI infrastructure for production applications.
You Think You're Shipping a Product? You're Actually Operating a Platform.
The hard part isn't building the thing. It's noticing when it becomes the place where other work starts living.
Personalization Didn't Get Creepy. It Lost Its Boundaries.
Why AI-powered personalization fails quietly and why that failure is a product decision, not a technical one.
When AI Fails, It's Rarely Because the Model Was Wrong
Why the next bottleneck in AI adoption is decision boundaries, not accuracy.
When AI Stops Assisting and Starts Deciding
How everyday helpful systems quietly take on judgment, and why most teams notice too late.
Building a Product Vision: The Blueprint to Long-Term Success
How to create a product vision that actually guides decisions.
Duolingo's Growth: Product Management Lessons You Can Steal
What product managers can learn from Duolingo's growth playbook.
AI's Green Dilemma: Innovation at What Cost?
Exploring the dual nature of AI in a sustainable world.
Machine Learning IS for Everyone
Breaking down the barriers to entry in machine learning.
Skills Needed to Be a Data Scientist
A practical guide to the skills that actually matter in data science.