Current Build

I'm currently running a deliberate architectural experiment in parallel with my full-time role.

The core. A graph-native, modular data architecture framework I'm building from scratch. Eight primitives, full mechanism set, comprehensive test suite. Two hard rules: the core never imports a product, and the core never uses new. Built to solve the framework drift problem most product suites suffer from — three years in, you're maintaining four codebases pretending to be one.

The product. A modular consumer product for business operators, built as the first real consumer of the core. The product isn't a demonstration of the core — it's the proof. If the framework can't carry a real product to production, it isn't a framework.

The methodology. I don't use AI as a productivity tool. I run it as a distributed engineering organisation — one stream for planning and specification, another for hole-poking and quality control, a third for test-as-spec — with myself as architect, reviewer, and integrator at the centre. Every member of that organisation has perfect recall, zero ego, and no architectural opinion of its own. The architect at the centre still owns every call.

This is not "AI built it." Two real framework bugs caught by the test suite so far. None by the AI. Both by the discipline. Even at the build level, the ratio holds: the AI is the 30%; the architecture, the discipline, and the judgment of what to ship and what to throw away — that's still the 70%, and that part is still mine.