The claim everywhere right now is that AI replaces the engineer. What I keep finding is that it moves the engineer instead: from writing the code, to building the system that writes and checks it, to deciding whether to trust what comes out. That last decision is the part that doesn’t automate, and it’s still mine. The system that does the rest is Ordova.

I can run this experiment because the risk is mine to absorb. A business can’t gamble its revenue to find out whether hands-off AI works. I can, on my own products, and report what actually happens. If one fails, the lesson is the point.

The product below is real. Ordova is how it gets built. The findings are in the notes and case studies. All of it is public, because proving it is the whole exercise.

The product and the system it is built with

Now on the Mac App Store

Audient

A macOS app that uses on-device AI to transcribe and search the audio and video you give it.

audient.async-digital.com
Audient app icon

The system behind the work

Ordova

The system the studio runs on: software agents that review the code, enforce the conventions, check the copy, and watch for drift. The last call, whether to trust what they produce, stays human.

ordova.async-digital.com

Books

Writing and code

The bench