I spent years working inside agencies and on big enterprise projects — cloud platforms, AI systems, and software for blue-chip teams. It taught me how to build things that are reliable, secure, and maintainable, not just things that demo well.
It also showed me where the time and money actually go in a traditional build: coordination, hand-offs between specialists, and hand-writing the same plumbing on every project. Very little of an agency's quarter is spent on the hard, valuable thinking — most of it is volume and overhead.
That volume is exactly what AI-assisted development removes. I build with AI tooling deep in the process, under senior review at every step, so the architecture, security model and edge cases get my full attention while the repetitive work compresses into hours. The result is a genuine step change in output: full platforms — accounts, databases, payments, live data feeds — going live within days of starting, at a fraction of what the same scope costs elsewhere, and built to standards that held up in insurance and banking.
It means the things that were never worth building before, because an agency quote made them impossible, are now well within reach. Bring me the awkward, specific problem nobody would take on.