We've been doing this since 2018 — back when “AI” still mostly meant a spreadsheet macro. The new tools are better. The job is the same: understand the work, then make it disappear.
Working code in weeks, not quarters.
We deliver something useful within the first few weeks of an engagement — not a slide deck, not a discovery doc, working software you can put in front of someone. Everything after that is built on what earned its place.
One person can read every line. So can the next one.
We don't over-engineer. Three similar lines is better than a premature abstraction. The codebase stays small enough that a new dev can be productive in their first day — including yours.
We measure outcomes, not story points.
Every project has a question we're trying to answer: hours saved, errors reduced, response time, conversion lift, dollars. We instrument the answer from day one so we know whether the work landed.
If AI is wrong for the problem, we'll say so.
We're not selling AI; we're selling outcomes. Sometimes the right answer is a spreadsheet macro, a better form, or hiring a person. We tell you when that's the case — and we'll still help you implement it.