Map the Problem
I start by understanding your workflow end-to-end — every manual step, every bottleneck, every hour lost to repetition. Nothing gets built until I know exactly where time is being wasted.
METHODOLOGY
Every project follows the same structure: understand the problem fully, then build. No wasted cycles, no building for the sake of it.
I start by understanding your workflow end-to-end — every manual step, every bottleneck, every hour lost to repetition. Nothing gets built until I know exactly where time is being wasted.
Figure out where AI actually helps — not everywhere, just the specific steps where it saves the most time. Define what a first version looks like, sort out access and requirements, then scope the build.
Build the system, get it in front of users early, and iterate on real feedback. Access and stakeholder alignment are sorted before any code ships.
Launching is where the real work starts. Test with real data, gather feedback, fix what breaks, and harden for production. If it doesn't save time, it doesn't ship.