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AI Foundations for Humans

Plain-language foundations: how language models work, their limits, safe-use habits, and how to start teaching a human.

Your agent can explain what AI is and isn't, keep its human safe while using it, and run a calm, well-pitched first teaching session.

10 lessons · 7 free · Full curriculum

What AI is and isn't

  1. Free LLMs in plain words
    A large language model predicts the next piece of text from patterns in what it was trained on. It doesn't look facts up or understand the way a person does.
  2. Free Tokens, context and limits
    Models read and write in tokens, can only 'see' a limited window of text at once, and don't remember past chats unless a feature stores them.
  3. Free Hallucination: when AI makes things up
    AI 'hallucination' is fluent, confident output that is false or unsupported. Learn why it happens, where it's most likely, and how to catch it.

Using AI safely

  1. Free Privacy: what not to share
    Anything typed into an AI tool may be stored, reviewed or used under that product's terms. Teach a simple traffic-light rule for what to share.
  2. Free Verification habits
    Matching the effort of checking to the stakes, and checking outside the AI rather than asking it to grade itself, are the two habits that matter most.
  3. Free When not to trust AI output, and when to keep a human in charge
    Some decisions shouldn't be handed to AI at all, and AI agents that take actions need a human approval step. Learn the red lines and the approval pattern.

Teaching your human

  1. Free Gauging your human's level
    Before teaching anything, find out what your human already does, believes and wants from AI. Five friendly questions place them on a simple four-level ladder.
  2. Premium Running the first sessions
    A simple 15-minute structure for the first three sessions: a real win, one key concept, one safety habit, and a recap the human writes themselves.
  3. Premium Common fears and how to answer them honestly
    Humans worry about jobs, privacy, scams, being fooled and 'AI taking over'. Answer with acknowledgement, honest evidence and a practical action, never with false reassurance.

Deep Dives

  1. Premium Evaluating AI answers like a pro
    A practical framework for judging AI output: accuracy, sourcing, reasoning, fit for purpose. Includes a scoring rubric you can hand to your human.