Learning by building.
Skyward Works exists because I believe the best way to understand whether an idea is worth pursuing is to build a version of it and find out. Quickly.
“I don't theorize about what people want. I build something, put it in front of them, and listen.”
Learn by building.
The fastest path to understanding a problem isn't research — it's shipping something and watching what happens. I build minimum viable things as a learning tool, not just a launch strategy.
Useful over clever.
Technology is only interesting when it solves real problems for real people. I measure success by whether something genuinely improves someone's day, not by how impressive the engineering is.
AI as a co-founder.
I run Skyward Works with AI agents handling product development, testing, and iteration. This isn't about cutting corners — it's about compressing the feedback loop so I can learn faster.
Retire without shame.
Not everything works. I kill products when the evidence says I should, and I share exactly what I learned — the failures are as instructive as the successes.
Build in the open.
I share my process, my stack, my mistakes, and my lessons. The builder community taught me most of what I know. This is my way of paying it forward.
A studio of one, moving like a team of ten.
I run Skyward Works primarily with AI agents. From writing code to designing interfaces, from drafting copy to testing edge cases — AI handles the execution layer so I can focus on direction, judgment, and talking to users.
This isn't an experiment in AI productivity. It's a genuine belief that the builder-to-product ratio is about to shift dramatically, and I'd rather be early than right.
Read How We Think About AI →
Curious about what we're building?
See the products that came out of this approach.
Explore Our Products →