I didn’t set out to build an AI platform because I thought AI was exciting.
I built it because I kept seeing the same pattern:
people who wanted to understand AI but felt shut out by noise, hype, and constant tool churn.
Most AI content assumes one of two things:
you want to become technical, or
you want shortcuts and “magic prompts”.
A lot of people want neither.
They want:
clear explanations
realistic use cases
boundaries, limits, and risks
a way to learn without feeling behind or rushed
So I built AI Tuition Hub as a deliberately calm, structured learning space:
self-paced
non-technical
organised by understanding, not trends
There are no dashboards, streaks, or urgency mechanics.
Just short courses designed to help people think clearly about AI before using it.
One thing that surprised me while building it:
clarity scales better than hype.
When people aren’t overwhelmed, they actually explore more.
For anyone curious, there are a few free introductory courses here:
https://aituitionhub.com
I’m interested to hear from others building educational tools:
How do you resist hype cycles?
How do you decide what not to include?
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