I'm Auditing How I Work With AI
I use AI throughout product development, but volume does not prove value, so I am measuring where it helps, where I intervene, and where work gets repeated.
Future-Ready Product Engineering, based in Chicago
We launch MVPs
With senior engineers.
Hands-on product engineering for founders and tech leaders who need clearer systems, useful prototypes, and software shipped every week.
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A senior product engineer embeds where the work is stuck, simplifies what can be simplified, and keeps visible progress moving.
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Start with a focused audit, roadmap, prototype, or UX review before committing to a larger build. Clear next steps, no heavy process.
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See progress in real-time. We ship code every day using CI/CD and shared boards. You’re never in the dark.
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Super IC Partnership
You work directly with the senior person doing the thinking and implementation. Less handoff, more accountability.
Practical Futurism
We use experiments and prototypes to discover what can be done, then turn the useful parts into systems your team can keep changing.
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What senior engineers know
View all posts »The principles behind shipping software that actually works, from AI-assisted development to why most MVPs stall.
What We Still Do Manually When Building With AI
AI can handle more implementation work, but people still need to choose the problem, judge the experience, manage risk, and accept the result.
When AI Gets Faster, Verification Becomes the Bottleneck
Faster AI can produce changes before a team can understand them, so the delivery advantage comes from tighter tasks and stronger evidence.
The Next Release Should Answer a Question
Before a meaningful release goes live, decide what question it should answer, what evidence matters, and what you will do next.