Concepts
What is AI, really?
Separating AI, machine learning, deep learning, generative models and agents.
Literacy
AI with context, limits and judgment.
Short guides, articles and simple exercises to understand what AI does, where it helps and where caution matters.
Materials
Four entry points.
Tools
How to experiment
Principles for testing tools without turning curiosity into dependency.
Questions
What to check
Privacy, sources, autonomy, human review and trust proportional to risk.
Book
One reference point for going deeper.
The book complements MafraLab's short materials and helps build a practical view for curious people.
EN
AI That Makes Sense
A practical introduction to understanding AI without hype, code or math.
Open sitePractice
Use it better
The aim is to move from passive curiosity to questions, tests and critical review.
Suggest topicMedium articles
Recent reading.
Static cards from the public Medium feed, avoiding iframes or browser-side dependencies.
Not Every AI Agent Is an Autonomous Agent
A practical map for distinguishing assistants, task agents, controlled flows and real autonomy.
Read articleShadow AI Is Not an Employee Problem. It’s a Governance Failure
A governance lens on responsibility, tool choices and clearer rules for using AI.
Read articleThe AI Aha Moment: The Real Reason People Finally Start Using AI
Why adoption starts when a person finds one concrete task that changes how the tool feels.
Read article