AI Ready HubWhat changed
The one or two AI developments worth your attention, in plain language. (Filled in weekly.)
News & Explainers
AI, explained without the hype
The world of AI changes every week. These short reads explain the ideas behind the headlines so you can keep up without the noise.
What changed this week in AI
All explainers →AI moves fast. Here’s what matters this week.
A short weekly roundup: what changed, why it matters, and what to do about it. The first edition is being prepared.
Why it matters
What it means for small businesses, educators, and working professionals. (Filled in weekly.)
What to try
One small, practical action, tool, or prompt to try this week. (Filled in weekly.)
This section is a template. We only publish items we’ve checked against the original source, with links.
What is an AI agent, really?
An AI agent is software that can take a goal, plan steps, use tools, and check its own work. Here is what that means in practice, and where it still needs a human.
Read →Large language models, explained without the hype
How tools like ChatGPT, Claude, and Gemini produce text, why they sometimes get things wrong, and how to use them well.
Read →AI policy basics for small organizations
A one-page AI policy prevents most problems before they start. Here is what to put in it.
Read →Your first AI automation: pick the boring task
The best first automation is small, frequent, and annoying. A simple way to choose one and build it safely.
Read →AI in the classroom: a calm starting point
Practical, low-risk ways teachers and school leaders can start using AI, and what to avoid.
Read →Prompting fundamentals: get useful answers every time
A simple four-part pattern for writing prompts that work, with examples you can reuse.
Read →AI tools for your job: a role-by-role starter list
Which kinds of AI tools help in common roles, from admin and sales to teaching and operations.
Read →Staying relevant in an AI workplace: a career guide
AI changes tasks before it changes jobs. How to adapt your skills, show your value, and stay ahead.
Read →AI glossary: 15 terms in plain English
Agent, prompt, token, RAG, fine-tuning and more, each explained in a sentence or two.
Read →