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AI for users
Start here if you use AI tools at work. These guides explain what language models are, why they sometimes get things wrong, how tokens and context windows shape what they can do, and how to write prompts that save time on everyday office tasks without putting your work or your data at risk.
AI Glossary: Plain-English Definitions of Common AI Terms
Plain-English definitions of the AI terms you meet at work.
3 min read
From AI User to AI Governance: A Learning Pathway
Find your starting layer on the path from AI user to AI governance.
8 min read
Prompting Basics: 10 Patterns for Everyday Office Work
Ten prompt patterns that make AI help with office work clearer.
8 min read
Tokens and Context Windows Explained: Why AI Forgets and What It Costs
Why AI tools forget in long chats and how tokens drive cost.
7 min read
What Is AI Hallucination, and How Do You Reduce It?
Why AI states false things confidently and how to catch it.
7 min read
What Is an LLM (Large Language Model)? A Plain-English Guide
What a large language model is, how it works and where it fails.
7 min read
What Is an SLM (Small Language Model), and When Is Small Better?
What a small language model is and when it beats a larger one.
6 min read
Responsible AI at Work: Privacy, Accuracy and Human Oversight
Practical habits for privacy, accuracy and human checks with AI.
7 min readSTART HERE
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