Fast Enough to Learn, Rigorous Enough to Decide
A stakeholder said 'do a market test.' Nine days later we had persona-based landing pages, data capture, interview-informed copy, and a go/pivot/kill framework.
Running an Advisory Council of One
When you're the only PM on a project, you have to manufacture the rigor that a larger team provides naturally. Here's how I use AI agents as structured perspectives to stress-test my own decisions.
When Three Data Sources Agree, Pay Attention
Competitive research, a user interview, and Reddit threads all pointed to the same insight. That convergence changed our product direction.
Building a Demo in 2 Hours (6 Iterations)
I needed to record a product demo but couldn't coordinate typing, scrolling, voiceover, and screen recording simultaneously. So I built a tool.
When AI Deleted 22,719 Files
An automated file sync tool wiped an entire Drive folder. What I learned about guardrails, manual control, and designing systems where speed doesn't kill.
Signal Tracking: Staying Ahead Without Drowning in News
I track AI and EdTech developments weekly so decisions are based on where things are heading, not where they were six months ago.
Reconciling Conflicting Data: A Thinking Pattern
When data sources disagree, the instinct is to pick a winner. The better move is to ask what it means if both are true.