AI Foundations

23 short reads that take anyone from nothing to confident. No jargon, and each one ends with three things to do.

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AI fundamentals

4 reads

What AI actually is (and isn’t)

4 min

The words you need to know, and the ones you can ignore

5 min

How to know if AI is the right tool for the job

5 min

Which AI tool to use, and why it matters less than you think

5 min

Working with AI

5 reads

When AI speeds you up, and when it slows you down

4 min

The anatomy of a good prompt

4 min

Using AI without losing your voice

5 min

Iteration: the skill nobody teaches

5 min

One project per client: how to set it up

6 min

AI for sceptics

2 reads

You don’t have to love AI to use it well

4 min

What the AI hype gets wrong

7 min

AI limits and failures

3 reads

Where AI fails, and what to do about it

6 min

Why AI sounds confident when it’s wrong

5 min

The tasks AI is genuinely bad at

6 min

Privacy and data security

3 reads

What you should never paste into a general AI tool

5 min

GDPR, client data, and AI: what you need to get right

7 min

Free vs Paid: what you’re actually buying when you pay for AI

6 min

Responsible use

3 reads

Client work and AI: what to disclose and when

6 min

Copyright and ownership: what you need to know

6 min

Using AI honestly: a practical ethics check

6 min

Team and company adoption

3 reads

From individual use to team practice

7 min

Writing an AI policy that isn’t bullshit

6 min

Pitching AI to the team without the hype

8 min