Prompt Engineering
The practice of writing inputs to AI models in ways that produce reliable, well-structured outputs.
In detail
Prompt engineering covers the techniques used to get useful output from a language model: clear instructions, examples (few-shot), structured output formats, role assignment, chain-of-thought prompting and tool-use directives. Good prompts can move a model from unreliable to production-grade on the same task without changing the underlying model. The discipline includes testing prompts against varied inputs, capturing edge cases and treating prompts as code that should be versioned and reviewed.
Why it matters for Australian business
Prompt engineering is the highest-leverage skill an Australian SMB can build internally because it changes outputs by 10x without touching infrastructure. It also reduces hallucination, drift and cost. Workshops on prompting techniques pay back faster than any other AI training because every staff member who uses Claude, ChatGPT or Copilot benefits.