Learn AI Concepts in 5 Minutes a Day
Interactive daily lessons covering prompt engineering, Cursor, MCP, and AI agents. Structured from beginner to advanced, explained in plain English, and short enough to actually finish.
The Learning Path
Beginner → Advanced · One lesson a dayPrompt Engineering Foundations
Beginner6 lessons · 5 min each- 1.1What a large language model is actually doing
- 1.2Anatomy of a prompt that works
- 1.3Giving context, examples, and constraints
- 1.4Why models hallucinate and how to reduce it
- 1.5System prompts and role setting
- 1.6Iterating a prompt instead of rewriting it
AI Agents & Tools
Intermediate6 lessons · 5 min each- 2.1What makes an agent different from a chatbot
- 2.2Tool calling, explained without code
- 2.3MCP: what the Model Context Protocol connects
- 2.4Planning, memory, and why agents get stuck
- 2.5Guardrails and human approval steps
- 2.6When an agent is the wrong answer
Building with AI
Intermediate5 lessons · 5 min each- 3.1Cursor: pair programming with an AI editor
- 3.2Retrieval-augmented generation in plain English
- 3.3Choosing between models for a task
- 3.4Cost, latency, and context windows
- 3.5Shipping an AI feature responsibly
Evaluating AI Output
Advanced5 lessons · 5 min each- 4.1How to tell whether an answer is good
- 4.2Writing evaluations for your own use case
- 4.3Bias, safety, and where models fail
- 4.4Reading a benchmark without being fooled
- 4.5Keeping quality steady as models change
Why five minutes beats a six-hour course
Plain English, no maths wall
Concepts are explained the way a colleague would explain them, so you can start without a machine learning background.
Interactive, not a video queue
Each lesson asks you to apply the idea immediately, which is why it sticks longer than a tutorial you watched at 2x speed.
Structured beginner to advanced
Tracks build in order — prompting before agents, agents before evaluation — so you never hit a lesson that assumes something you skipped.
Tools you'll actually use
Cursor, MCP, agent frameworks, and RAG patterns, taught against how they behave today rather than a generic overview.
A streak that fits a real schedule
Five minutes a day is the whole commitment. Progress is saved across devices so a busy week doesn't reset you.
Connected to the daily news
When a model or tool changes, the lesson and the daily AI news digest keep the explanation current.
How the daily habit works
Pick a track
Start with prompt engineering fundamentals or jump straight to agents if you already prompt daily.
Do one lesson a day
Five minutes, one concept, applied immediately in an interactive step.
Build the streak
Lessons stack into a track you finish, instead of a course you abandon in week two.
Learning AI: Frequently Asked Questions
01Do I need a technical background to learn AI here?
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No. Lessons start from zero and explain concepts in plain English. The beginner track assumes no coding or maths background.
02How long does each AI lesson take?
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About five minutes. Each lesson covers one concept and asks you to apply it once, which is what makes it stick.
03What topics are covered?
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Prompt engineering, AI agents and tool calling, MCP, Cursor, retrieval-augmented generation, model selection, and evaluating AI output.
04Is it free to learn AI on Unrot?
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Yes. Sign in on the app or web app and you can start the beginner track free.
05How is this different from a video course?
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Lessons are interactive and sized for one sitting. Instead of a multi-hour course you plan to finish someday, you complete one concept a day and keep a streak.
Learn one AI concept today
Five minutes, one lesson, no prerequisites. Start the beginner track free on iOS, Android, or the web app.
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