ONE BLADES
ONE BLADES
FOR
SUPPORT
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LONG-FORM SERIES
Some things need more than a post.
These series document the ideas, decisions, systems and experiences behind my work in skating, building ONE Blades and using AI.
Each series takes one subject and follows it further, through the lessons, decisions and thinking that came from doing the work.
Written from the work, not from the sidelines.
An eleven-part founder series about the decisions, systems, mistakes, tools and thinking behind building ONE Blades.
Eleven papers. Written during the build, not after it.
The strongest ideas often begin with problems you have lived long enough to understand.
Finding the connected problems you understand closely enough to do something about.
Why focus is not thinking smaller. It is choosing what gets built first.
The difficult work of building the foundation before simplicity becomes possible.
Using AI as directed leverage while keeping judgment and responsibility with the founder.
How different tools, models and workflows become useful when one person directs the system.
The written brain underneath the company, its decisions and the AI systems working with it.
Going from repeatedly rebuilding basic stores to directing a custom storefront with AI.
Why ONE Blades is being built directly around the people it exists to serve.
Why distribution can be built around the people who already own, use and believe in what you make.
How long-term thinking and clear filters decide what gets built, rejected and ignored.
An eight-part series about working with AI through conversation, context, source material, judgment and systems rather than treating it like a search box.
Not AI theory. The working method I use every day.
How one unfinished ONE Academy idea became a two-hour AI conversation, a wider system, and eventually this series.
Why the quality of the conversation matters more than trying to write the perfect prompt.
Why useful AI starts with context about who you are, what you are building and how you think.
How persistent projects turn disconnected conversations into an operating environment that compounds.
Why transcripts, documents, decisions and real work produce better thinking than asking AI to fill the gaps.
How principles, terminology, constraints and doctrine turn AI from a generic assistant into a useful collaborator.
How recurring thinking becomes workflows, tools and infrastructure instead of being solved again.
Why AI can increase your capability without taking responsibility for your judgment.
Standalone papers documenting what we are building, what happened, what changed, and what the work reveals along the way.
Not theory. Real work, documented as it happens.