AI: From Magic to Mechanism
Like Duolingo, but for AI: From Magic to Mechanism. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
For the part of you with thirty open tabs that never became anything.
A short one: 26 levels across 3 sections, about 52 minutes end to end, roughly 10 days at five minutes a day. It moves through Steer the Machine, Debug and Refine, and The Engine Under the Hood. It assumes you already know the basics.
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Key ideas in AI: From Magic to Mechanism
- Personas provide a consistent logic for how the AI should behave
- Simple task lists are easily ignored as the conversation gets longer
- Negative constraints explicitly block unwanted behaviors
- Personas act as a filter for the AI's communication style
- The effectiveness of persona-based instructions over simple task lists
- Mapping specific guardrail instructions to their intended safety or topical outcomes
- AI models are designed to be helpful and may default to obeying a user
- System prompts act as the 'boss' instructions that override user input
- AI predicts the next word based on what it has already written
- Writing out steps creates a trail of logic for the AI to follow
- Jumping to the end forces the AI to calculate everything in one go
- Phrases like 'let's think step by step' trigger better logic
- Asking for a plan before the solution prevents hasty errors
- Why step-by-step reasoning improves accuracy in complex logic
- Identifying effective prompt structures for breaking down problems
- The final answer is built on top of the words written during the reasoning
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives AI: From Magic to Mechanism the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
You've given the AI a long list of rules. What is the most likely risk as your conversation with it gets longer?
Get it right to open this lesson and 25 more in the app.
Where AI: From Magic to Mechanism takes you
Move beyond simple prompts and discover how to steer AI models with precision. Learn to spot the patterns in how machines 'think' and how to troubleshoot their most common mistakes.
- 1
Steer the Machine
- The Art of Contextual Guardrails
- Chain-of-Thought: Helping AI Show Its Work
- Few-Shot Learning: Teaching by Example
- Managing the Window of Memory
- 2
Debug and Refine
- Why Models Make Things Up
- Identifying Hidden Biases in Responses
- Temperature and Randomness: Finding the Sweet Spot
- Formatting Outputs for Real-World Use
- Evaluating Quality Beyond the Vibe Check
- Iterative Prompt Engineering
- 3
The Engine Under the Hood
- Tokens: How Machines Read Words
- Probability Maps and Next-Word Prediction
- Vectors: Turning Meaning into Math
3 sections · 13 units · 26 levels. Built to play, not to enroll.
You pick the voice
AI: From Magic to Mechanism is taught in the The Bestie style: your friend who just gets it. Want a different feel? In the app you can spin up the same topic in any of Tomo's teaching styles. Same facts, totally different vibe.
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Start AI: From Magic to Mechanism today.
Download Tomo, search AI: From Magic to Mechanism, and play your first lesson in under a minute.