Case study
Building a Better Way to Capture Loose Ideas
Loose ideas and commitments were too easy to lose. I built a capture and routing system that turns quick notes into reviewable actions while preserving the original context.
Read case studyKai John-Blunch
Learn fast. Ask better questions. Make something useful.
I try to understand how things actually work: by talking to people, testing ideas, building tools, and explaining what I learn clearly. Most of my recent work has involved early-stage companies and practical uses of AI.
Portfolio
Selected work
Case study
Testing a Procurement Idea Before Scaling It
Before scaling a new procurement positioning idea, I designed a small AI-assisted market test with explicit review gates so a null result would still teach us something.
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Turning a Hiring Opportunity into a Live Product Experiment
A promising hiring concept needed to become something real partners could try. I defined the product experience, onboarding path, success criteria, and feedback loop for the live experiment.
Read case studyWorking themes
Different problems. A recurring set of questions.
What are people actually telling us? Talk to them before building around an assumption.
Where is AI genuinely useful? Use it where it makes work easier to inspect, improve, or complete.
What is worth testing next? Make the next decision smaller, clearer, and cheaper to learn from.
Writing
Selected writing
Essay · June 1, 2026
The Industrialization of Cognition
An essay about AI as a production stack: who owns the tools that shape thought work, what happens to human skill, and why concentration and access have to be understood together.
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My work has moved between startups, finance, and AI tools.
The common thread is simple: learn how the situation actually works, decide what matters, and make something useful enough to test in the real world.