Bringing AI products to life
Most organisations have AI ideas but lack a disciplined AI development lifecycle. This post outlines a practical, governed process from problem framing to FinOps‑aware operations for AI products
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Managing your innovation pipeline through AI projects
Many organisations “try AI” without real business requirements, guardrails or an innovation pipeline. This post explains how to manage AI projects as an innovation portfolio and why agile still needs clear functional and non functional requirements.
When energy geopolitics hits your laptop
Energy shocks from Russia’s diesel export ban and the Strait of Hormuz crisis won’t just lift petrol prices - they’re already reshaping global computing.
When Space, Strategy and Commercial Tech Converge
Leaked Russia-China plans to counter Starlink show how military strategy, geopolitics and commercial tech are converging, as states adapt to dual‑use infrastructure and the strategic role of privately owned satellite constellations.
The Two-Layer AI Stack: Cost Discipline Meets Strategic Leverage
AI shouldn’t be one big expensive model doing everything. Build a two-layer stack: a cheap, open-weight “engine” for execution, with frontier models as “steering” for judgment and edge cases. Own your costs, avoid lock-in, and let quality go up as prices go down.
Claude Science: a practical AI workbench for real scientific workflows
Claude Science is Anthropic’s new AI workbench for scientists, built around real lab workflows, reproducibility and auditable AI, not just another chatbot. Here is what it means for day‑to‑day research and engineering.
AI boomers, doomers, and why sovereignty and investment now matter more than hype
Australia’s AI future won’t be decided by AI boomers or doomers, but by who owns the compute, sets the rules, and gets paid back for the infrastructure we build.