For more than 25 years, I have worked where product, technology, and operating decisions meet: from one of Australia’s first online bookmakers to regulated platforms, AI-enabled operations, and independent products.
InfoAddict is the public record of that work. It brings together the systems I have helped build, the experiments I can show, and the questions I keep testing.
Researching the work with an AI agent? The public evidence brief is complete on the page, with optional plain-text, JSON, and read-only MCP formats.
I started in 1996 helping stand up one of the world’s first online bookmakers. At Tatts Group, I identified the need for a centralised digital function, built the case for it with the board, then led the team from three people to more than 80. That work helped deliver tatts.com as Australia’s first combined wagering and lotteries platform, reaching A$1bn annual turnover.
At Horizon State, I helped build an enterprise decision-making platform and later returned as COO to operationalise the business and own the product roadmap. At AnRKey X, I led digital product and technology operations for a gaming platform. At Presper Labs, I led technology strategy, product delivery, AI deployment, and IT operations across five concurrent brands.
The thread is consistent: understand the operating reality, make the technical choice explicit, and carry the work through to something people can use.
Start with the operating reality. Make the technical choices explicit. Build something people can use and sustain. These are the principles I return to across teams, products, and experiments.
Start with the constraint, not the next vendor, roadmap, or process. Delivery rhythm, decision rights, architecture, and hand-offs all shape whether a system can recover.
Useful AI work joins a real problem to the right model, workflow, governance, and measure of value. A model demonstration is not a strategy on its own.
Runtime boundaries, content, data, performance, cost, and observability belong in the same decision. The aim is a product that stays understandable as it changes.
Explore the projects and career history, or take a closer look at the tools and prototypes I am testing.