You spotted an opportunity and bravely set out to build in the AI-native world.
But the old product rules no longer apply. AI outputs are unstable, new models are released daily, your team is lean. The distance between demo and adoption is larger than it appears. Meanwhile, time is precious.
You don’t need more tech, or more capital. You need to get the product into people’s hands.
How can you get clarity around what to build right now?
I partner with visionary founders building AI copilots, applications, and agents to help them find and prove product-market fit.
Fortunately, patterns are starting to emerge across AI startups. I bring rapid prototyping signals to inform your highest-stakes product decisions. The way I see it, we’re designing new relationships with thinking machines.
My approach was developed at frog Ventures in SF, where I learned to build mental models of users, so that products don’t just function but resonate.
Unlike a typical advisor, I roll up my sleeves, fall in love with the problem, and build alongside your team.
Before all of this, I was a founder myself at Norn. I studied at Stanford. I invested at Better Society Capital. I’ve sat in many seats at the table, which means I’m more likely to have seen it before too.
