Choosing an AI Model.
The model you choose shapes what your AI can do, what it costs to run and where your data goes. These guides compare the major models on real business tasks, explain how token pricing works in practice, and weigh up cloud APIs against running models on your own hardware. Start with the head-to-head comparison, then use the execution matrix to match a model to the job.
Claude vs GPT vs Gemini: Choosing the Right AI Model for Business
A side-by-side verdict on Claude 5, GPT-6 and Gemini 3 for business automation and content, and when a local open-weight model beats all three. Updated September 2026.
The guides
The Execution Matrix: Selecting the Right LLM for Business Logic
Dispelling the 'one size fits all' AI myth. A technical breakdown of Claude 5, GPT-6, Gemini 3 and local open-weight models for enterprise automation.
The API Token Economy: Pricing, Pitfalls, and Strategy for Agentic AI
What API tokens actually cost, why the free credit tier is a trap, and how to stop LLM API bills eating your margins as you scale automation.
Agentic Infrastructure: Cloud APIs vs. Local Compute Deployments
Where does the brain of your AI agent live? A technical breakdown of Cloud APIs, Mac Studio local compute, and data sovereignty for Australian businesses.