A dedicated QA phase across devices, edge cases and failure states, running before every deploy rather than after a user complains.
Most defects don't show up in a demo — they show up on a real device, on a slow connection, with a user doing something nobody scripted for. Our QA phase exists specifically to find those before launch, combining AI-generated edge-case tests with a manual, human walkthrough of every flow.
We publish these because most of what's written about software delivery and AI is either pure hype or pure cynicism — this is just an honest account of how we actually work.
We're deliberately not the studio that quotes you a number and disappears until the deadline. Expect short, regular check-ins, staging access from early on, and a straight answer any time something turns out to be harder — or easier — than it looked at the start. If a piece of this isn't the right fit for your team, we'll say so directly rather than stretching the engagement to fill a quarter.
How we build it
AI drafts the inputs and states a human would take hours to enumerate by hand.
A person clicks through the product the way a real, occasionally careless user would.
Nothing ships until the same test that failed passes clean on a second pass.
Frequently asked
Yes — this reflects our real day-to-day process, not a marketing simplification. Ask us for specifics on any project and we'll walk you through it in as much detail as you want.
This is one of a small set of field notes we publish — get in touch and we're happy to talk through any of it in more depth, including specific numbers and examples.
The same principles apply regardless of size — a two-week landing page project gets the same review discipline as a multi-month platform build, just scaled to fit.
Who this is for
What you walk away with
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