Myth vs MachineBeat 01
What even is an LLM?
A next-token guesser. Not a librarian with facts on a shelf.
1 · Chop into tokens
The␣fog␣horn␣had␣been␣silent
6 tokensone chunk each. Until a rare word splits
Course voice
Okay, but what is a token?
How AI Works
Finally understand what AI is actually doing. By doing it yourself. Drag tokens, run real prompts, break the model on purpose.
No coding required. Playground 1 is free.
Live · images · sound · deepfake
How AI makes images · denoise
Step 1/4 · Noise
oil lampfog pierteal skystill water
Three labs that sell the course.
See the labs →Who is this for?
This course is for you if…
- 🤔You use ChatGPT or Copilot but have no idea how it actually works
- 😬You have sent AI output to a client and later realised it contained made-up facts
- 📊You work in marketing, HR, product, or management. Not engineering
- 🎯You want to use AI more reliably, not just luckily
No maths, no coding, no prior knowledge needed. If you can use a web browser, you can do this course.
What you will know after
Five things you will be able to do
Written for someone who has never written a line of code.
- 01
Explain exactly why AI invents facts. And how to catch it before it embarrasses you
- 02
Write prompts that consistently get useful results instead of vague non-answers
- 03
Know when to trust AI output and when to verify every word
- 04
Understand context windows, temperature, and tokens. Without needing to code
- 05
Use AI to draft, critique, and improve your own writing without losing your voice
How each playground works
Theory → Examples → Exercise → Conclusion
Every playground follows the same structure. You never hit an exercise without first understanding what it’s for.
01
Theory
A short written explanation in plain language. What this playground is for, before you try anything
02
Examples
See the concept in action: drag tokens, watch rankings shift, compare outputs side by side
03
Exercise
Try it yourself in a live sandbox. With a real AI model, not a simulation
04
Conclusion
One plain-language takeaway you can use in your job tomorrow
Scroll · three beats
Beat 02
Wait. Tokens?
Short chunks of text with numbers attached. The model ranks what should come next.
2 · Rank the next token
The fog horn had been|
␣broken
41%
␣quiet
22%
␣missing
15%
␣cold
9%
Course voice
So it isn’t searching. It’s ranking.
Beat 03
And then a sentence appears?
Pick one guess. Append it. Repeat. Fluency shows up. Truth is optional.
3 · Keep going → a sentence
The fog horn had been silent for three nights, and
Model continues
the steamer's light was already too close to the rocks for anyone on shore to pretend they hadn't seen it.Course voice
That’s why you verify. And why we make you poke it.
Playgrounds
Nine labs. One skill each.
- 01
What is an LLM, really?
Start with what an LLM is, see a made-up detail, then watch the loop, chop tokens, rank guesses, and feel luck change on a live model.
12 minFree - 02
Talking to AI: prompting that works
Four dials, not magic words
19 minFull course - 03
Where AI fails: hallucinations and limits
Fluent and wrong at the same time
19 minFull course - 04
Grounding: your facts, not its memory
Paste the truth into the prompt
18 minFull course - 05
Workflows: draft, critique, revise
One prompt is rarely the finish line
18 minFull course - 06
How AI makes images
Noise, then better guesses
18 minFull course - 07
How AI makes sound
Waves from guesses, not a tape
16 minFull course - 08
How AI agents work
A loop with tools, not a smarter chat
18 minFull course - 09
AI security basics
Fluency is not proof
17 minFull course
Start with the free playground.
About ten minutes. No account required. Judge the course by playing it.
Pricing
One payment. Keep it forever.
$29once · no subscription
- ▸All 9 lessons, permanent access
- ▸Live sandbox with a larger hourly allowance
- ▸Narrated walkthroughs on every screen
- ▸Lesson 1 stays free. Judge before you buy
Full refund within 30 days of purchase if you have completed at most 2 paid playgrounds. One self-serve refund per account.