I’m Felix, a Canberra-based tech founder. I build systems using Clojure and graphs. From Economics to the APS, I write on deep tech architecture, AI trust, and the reality of bootstrapping complex solutions.
australian-public-service
There’s a persistent belief in the public sector that if the existing machinery is slow, risk-averse, and fragmented, the solution is to build a new, smaller machine next to it. A "Centre of Excellence," a "Transformation Office," an "Innovation Hub." It’s the
ai-architecture
It feels like we are at an inflection point; the capabilities of Large Language Models (LLMs) are extraordinary, offering new ways to synthesize information, automate complex cognitive tasks, and extract insights from vast unstructured datasets. But integrating these stochastic components - these probabilistic black boxes - into systems that demand
australian-public-service
I remember sitting in a Gartner Conference workshop around 2013, somewhere in the Sydney. We were talking about "Big Data" and the Australian Public Service. The consultancy partner leading the session, all suit and enthusiasm, declared that data was the "new oil" and that if organisations
australian-public-service
I’ve just read the latest Australian Public Service Data Maturity Report... and honestly, it feels like déjà vu. The headline? A system-wide score of 2 out of 5 which Finance optimistically labels as “Developing”. Key areas like Data Architecture, Analytics, and crucially Data Quality & Metadata are stuck at