Understand
I start with the real work: the people, the constraints, the data, and whether AI is even the right answer.
Approach / Idea to shipped product
Useful AI is
a product discipline.
A model demo is not a product. The work has to survive real data, real users, failures, cost and the people who have to use it every day.
See how I work ↓Frame
With you, I pin down what success looks like, how it will be tested and how much the system may do on its own.
Prototype
I build the smallest working version that shows where the value is and where it breaks.
Test
I measure quality, speed, cost and failure on real examples, not demos.
Ship
I ship with monitoring, human control, secure settings and a plan for getting people to use it.
Before anything scales
Five questions I ask first.
- 01Is there a problem here worth changing?
- 02Is AI better here than a simple rule or a process change?
- 03Can quality be measured on real cases before launch?
- 04When it fails, will someone see it, fix it and own it?
- 05Can the people involved run it and trust it?
Start with the real work