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Product
9 articles in Product.
•8 min read
Healthcare AI Will Be Won by Verticals. The Recipe Has Been Around for a Decade.
Most healthcare AI companies are failing for the same reason. The ones winning are running the same playbook: one Palantir figured out before anyone called it AI. Forward-deployed engineer. Ontology. Integrations. Then AI tooling.
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·7 min read
Penpal: Dispatch Tool Today, RPG Interface Tomorrow
I built a tool that turns GitHub issues into pull requests using a three-agent pipeline. That's the boring part. The interesting part is what happens when you stop thinking about AI agents as productivity tools and start thinking about them as a workforce, and build a world for them to live in.
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·8 min read
Product Evals in Three Steps (That You'll Actually Do)
Most teams skip evals because the process feels overwhelming. The three steps that make eval-driven development achievable: label a small dataset, calibrate an LLM evaluator to human judgment, then iterate configs against the harness.
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·7 min read
Stop Shipping Features: Why AI Products Need an Experiment Mindset
12 features shipped in a quarter. Zero meaningful metrics moved. AI products aren't software projects. The roadmap is a hypothesis board, not a delivery schedule, and treating it otherwise is expensive.
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·7 min read
When English Became a Programming Language
v0 just proved that English plus AI can replace traditional web development for most apps. That changes what it means to be a developer. An honest take on what shifts, what doesn't, and what to do about it.
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•8 min read
The GenAI Strategy Question You're Not Asking (But Should Be)
Everyone asks 'how should we use GenAI?' The honest answer requires a harder question: does AI's unique capability create new value here, or is it just a more expensive way to do something that already worked? A practitioner's framework for getting this right in healthcare.
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·7 min read
Every Failed AI Product Has the Same Root Cause
The same failure pattern shows up everywhere: teams shipping fast and iterating on vibes instead of building systematic evaluation. Evals aren't a nice-to-have. They're the core competency of any serious AI product team.
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·8 min read
The 6 Ways I've Watched GenAI Projects Fail (And How to Avoid Them)
GenAI projects in healthcare go sideways in predictable ways, sometimes with real patient consequences. Six failure modes that come up over and over again, and what to do instead.
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·6 min read
The Food Truck Method: Building MVPs That Don't Suck
Most MVPs turn into dumpster fires not because teams move too fast, but because they move fast in the wrong direction. The food truck method for building without the regret.
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