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.comEnglish Cymraeg
Async Digital builds software. It’s a one-person studio testing, in the open, what really changes when AI can write the code.
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.
Now on the Mac App Store
A macOS app that uses on-device AI to transcribe and search the audio and video you give it.
audient.async-digital.comThe system behind the work
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.comPublished · Book
A guide to navigating view hierarchies in SwiftUI.
Read it on LeanpubIn progress · Book
Principles for running an AI coworker in a one-person studio.
Six studies on Iris: turning one URL into a deterministic outcome from anywhere in the app.
Read case study
The primitives missing from agent-swarm runtimes, and the disciplines that fill the gap.
Read note
The rules you build with an AI assistant are professional capital. They belong to the studio, not the vendor.
Read note
The deep-linking layer from the case studies. MIT licensed, on GitHub.
View on GitHub
Teaching a complete beginner Texas Hold’em on the big screen. Simulated chips, no real money.
On-device transcription from the command line. Audient listens; Quill writes it down.
Turning work notes into four-blocker reports with on-device AI. Shelved because I wasn’t comfortable putting my name to AI-drafted output.