Practical writing on AI agents, custom software, the R&D Tax Incentive, and the operational decisions that separate engagements that ship from engagements that don't.
A 2026 cost breakdown for Australian operators trying to decide between hiring an AI team or partnering with an agency. Salaries, ramp time, infrastructure, opportunity cost, and the hybrid model that ends up being correct most of the time.
ReadThe Australian R&D Tax Incentive can fund up to 43.5% of an AI build, but only if the work is structured around eligible experimentation, not deployment. Here's what counts as R&D, what doesn't, and the documentation you need to build alongside the system if you want the claim to hold up.
ReadThree categories of automation, three completely different cost shapes, failure modes and integration profiles. Here's a decision framework for picking the right tool for the work, and the hybrid pattern that ends up being correct most of the time.
ReadThe market is flooded. Most AI agencies are slide decks with a model API key. Here's the operator test for finding the rare ones who actually ship, and a warning about why getting this wrong with AI is costlier than getting it wrong with anything else you've ever bought.
ReadMost AI agent projects stop at the demo. The system runs through the happy path on stage, the room nods, and then the work falls over the moment it touches a real customer. Here's what actually changes when an agent goes from demo to production, measured in outcomes, not architecture.
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