AI 101
Plain-English answers to the AI questions we get asked every week.
No jargon, no hype. Here's what the terms actually mean, what's genuinely useful for a small or medium NZ business right now, and what's still overhyped.
What the terms actually mean
Most of the confusion in this space comes from people using these words interchangeably. They're not the same thing.
Artificial Intelligence (AI)
The broad umbrella term for any software that performs tasks that would normally need human judgement — recognising an image, answering a question, spotting a pattern. Most day-to-day conversation about "AI" is really about one type of it: generative AI.
Generative AI
Tools like ChatGPT and Claude that generate new text, images, or code in response to a prompt. This is what most people mean when they say "AI" today, and it's the newest, fastest-moving part of the space.
LLM (Large Language Model)
The technology behind tools like ChatGPT, Claude, and Gemini — trained on huge amounts of text to predict and generate language. It's the engine; the chat app is just the dashboard on top of it.
AI Assistant / Co-Pilot
A generative AI tool built into everyday software you already use — email, Word, Excel, your browser — so it's there to help with a task rather than something you have to go and open separately.
Automation
Rules-based systems (like n8n) that move data and trigger actions automatically — "when X happens, do Y." No judgement involved, which is exactly why it's often more reliable and cheaper than AI for repetitive tasks. See Automation & n8n.
Agentic AI / AI coding tools
A newer category where AI doesn't just answer a question but carries out a multi-step task on its own — for example, Claude Code writing and testing software. See Claude Code for Business.
Questions we get asked every week
Do I need AI to stay competitive?
Not urgently, and not everywhere in your business. What usually matters more is fixing the manual, repetitive work first — often with plain automation rather than AI at all. See Process Efficiency.
Is my data safe if staff use ChatGPT or Claude?
It depends on the plan and settings, not just the tool. Free consumer accounts are not the same as business/team plans, and staff need clear guidance on what shouldn't be pasted in — customer data, financials, anything confidential.
What's the difference between AI and just automation?
Automation follows fixed rules you define. AI makes a judgement call based on patterns it's learned. If the task has clear, consistent rules, automation is usually the better (and cheaper) fit.
What does this actually cost to get started?
Often far less than people expect — many AI assistants and automation tools have low-cost or usage-based plans. The bigger cost is usually wasted time on tools bought and never properly rolled out, which is what a short readiness review is for.
Will AI replace my staff?
For most small businesses, the realistic near-term impact is fewer hours spent on repetitive tasks, not fewer people. The businesses that get the most value tend to redirect that saved time rather than cut it.
Where do I actually start?
With whichever is causing the most pain right now — a messy process, too much manual data entry, or just not knowing which AI tool is worth paying for. See the options below.
A simple way to think about it
Three questions, three answers
Repetitive task, clear rules?
That's automation — connect the systems and stop the manual re-entry. See Automation & n8n.
Not sure the process is right?
Fix that first — automating a broken process just makes it fail faster. See Process Efficiency.
Ready to work out what applies to you?
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