// AI

A point of view, not a feature list.

In regulated, expert-heavy products, AI's job isn't to replace the expert. It's to remove the friction between the expert's judgment and the action. I build small tools to keep that opinion honest.

// THE TAKE

AI earns autonomy the same way a new hire does: narrow scope, a track record, then wider latitude. Anything else is a demo, not a system.

The teams that get this right embed AI inside the existing workflow (the system of record, the handoff, the queue) instead of bolting on a separate app the expert has to context-switch into. And they let trust compound in increments: tight scope first, human override always live, autonomy widening only as the system proves itself in that lane. Skip the increments and the failure mode shows up in production instead of in a demo, and in healthcare, the failure mode is the product.

I hold that view because I've built the workflow platforms where embedding, not add-on features, was the unlock. And Keystone, below, is that same trust-compounding logic applied to how I build with AI myself: narrow gate, human call, then the next stage opens.

// BUILDS

Small builds I ship myself to pressure-test what AI can actually do, and to keep my engineering, product, strategy, and venture-investing instincts sharp while I learn it firsthand.

KITCHEN COMPANION

Pic-to-Plate

Snap what's in the fridge. Cook what's on the plate.

APPLIED AI · VISION + GENERATION · LIVE ON iOS

Pic-to-Plate

An image-to-recipe app, live on the App Store as an MVP. Photograph what's in your fridge, get a recipe back. I built it to see where vision models are reliable versus where they hallucinate, and to learn what the model can't do alone: remember your pantry and weigh it against what you're in the mood for. That workflow layer is why the app returns a curated shortlist (3 almost-there, 3 a short trip, 3 worth planning around) instead of endless recipes.

2 mo
concept to App Store
2
platforms, 1 codebase
27
decisions documented
Get it on the App Store →
Keystone AI logo

APPLIED AI · PRODUCT ORCHESTRATION LAYER · DEV + TEST

Keystone AI

A human-in-the-loop orchestration layer for taking an idea to a validated MVP. Skills and agents do the ground work at each of six stages; the judgment, the constraints, and the go or no-go call stay with the expert in the loop, here, a product manager. Nothing advances without that call.

What it taught me: agents are confidently wrong often enough that the gates aren't overhead, they're the actual product-management contribution. Remove one to move faster and you ship something broken.

Currently validating in dev and test. Targeting release late July / early August 2026.

Follow progress on GitHub →

NEXT UP · TRENDSHELF

Turning restock guesswork into an evidenced call for independent online sellers.