Process
How I Build.
A practical, repeatable way to take AI and web products from idea to production, with visibility at every step.
Methodology & sprint cadence
Six steps from idea to production.
- 011–3 days
Discovery & scope
Understand the problem, users and constraints. Agree on what success looks like and what's out of scope.
- 022–5 days
Architecture & design
System design, data model, API contracts and, for AI work, the retrieval and prompting strategy.
- 031–3 weeks
Iterative build
Build in small, reviewable slices with regular demos, so feedback lands early and cheaply.
- 04Continuous
Testing & quality
Automated tests where they matter, manual QA across devices, and evaluation of AI output quality.
- 051–2 days
Deployment & monitoring
CI/CD, environment setup, logging and monitoring on infrastructure you own.
- 06Included
Launch support
Post-launch fixes and a clear handover, with an optional retainer for ongoing work.
Working principles
How I think about engineering.
Measure, don't guess
Performance and AI quality are checked with real numbers, not impressions.
Visible progress
Regular demos and written updates. You always know where things stand.
Pragmatic architecture
The simplest design that meets today's needs and doesn't block tomorrow's.
Business first
Technology choices follow your goals, budget and team, not trends.
Ready to build
Have a feature, product or idea ready to go?
Send me the details and you'll get a scoped proposal within 24 hours.