AI Vocabulary Academy

Practice queue

Exercises still to do

Only the terms whose “Try It Yourself” exercise you haven't marked complete — grouped by category, easiest first.

Loading your progress…

Agents (6 left)

  • Agent
    1/5 · Easy

    Try it: Pick one task you do every week. Write one sentence describing an AI agent whose only job is that task.

  • Human in the Loop
    2/5 · Getting there

    Try it: Pick one AI task in your business and decide who signs off on it before it goes out.

  • Multi-Agent System
    3/5 · Trickier

    Try it: Think of a team you know — a crew, a kitchen, an office. Name each person's role, then match each role to an AI agent.

  • Nano AI-Driven Ecosystem
    3/5 · Trickier

    Try it: List three small jobs in your week that could each be handled by a tiny specialist AI. What would happen if they shared information?

  • Orchestrator
    3/5 · Trickier

    Try it: Imagine you have five AI agents. Write down which one your orchestrator would call first when a new customer emails — and why.

  • Autonomous Agent
    4/5 · Advanced

    Try it: Write one rule you'd give an autonomous agent before letting it work alone. Example: 'Never spend over $100 without asking.'

Models (8 left)

  • Inference
    1/5 · Easy

    Try it: Open your weather app and look at tomorrow's forecast — you just watched an inference happen. Name two more inferences you saw today.

  • Model
    2/5 · Getting there

    Try it: Ask an AI assistant one question about your trade. Everything in its answer came from what its model learned.

  • Token
    2/5 · Getting there

    Try it: Paste a page of your own writing into an AI tool and ask how many tokens it is.

  • Context Window
    3/5 · Trickier

    Try it: In a long AI chat, ask it to repeat your first instruction. See whether it still remembers.

  • Fine-Tuning
    3/5 · Trickier

    Try it: List the documents you'd give an AI so it sounded like your business instead of a stranger.

  • Multimodal
    3/5 · Trickier

    Try it: Take one photo from today's work and ask an AI to describe what it sees.

  • Neural Network
    3/5 · Trickier

    Try it: Find one photo-based task in your work and ask whether a machine could spot the same thing.

  • Temperature
    3/5 · Trickier

    Try it: Ask the same question twice in a tool with a creativity setting — once low, once high.

Data (4 left)

  • Training Data
    2/5 · Getting there

    Try it: Name the three information sources you'd want an AI to learn from before it worked in your business.

  • Embedding
    4/5 · Advanced

    Try it: Think of two phrases your customers use for the same thing. That gap is what embeddings close.

  • Retrieval-Augmented Generation (RAG)
    4/5 · Advanced

    Try it: Pick one document your team gets asked about weekly. That's the first file you'd hand to a RAG system.

  • Vector Database
    4/5 · Advanced

    Try it: Write down three past projects. What details would you want a 'library organized by meaning' to remember so you could find similar jobs later?

Infrastructure (4 left)

  • Automation
    1/5 · Easy

    Try it: Write down the task you repeat most each week. That's your best first automation.

  • Latency
    2/5 · Getting there

    Try it: Time how long your most-used AI tool takes to answer. Anything over 5s hurts.

  • API
    3/5 · Trickier

    Try it: Name two tools you use that don't talk to each other. Connecting them would be an API job.

  • Vector Database
    4/5 · Advanced

    Try it: Name the one folder of documents you'd most like an AI to be able to answer from.

Fundamentals (8 left)

  • Prompt
    1/5 · Easy

    Try it: Write the same request two ways — vague and specific. Notice which one you'd rather hand to a new hire.

  • Algorithm
    2/5 · Getting there

    Try it: Write a four-step 'recipe' for something you do daily — like making coffee or returning a customer call. You just wrote an algorithm.

  • Benchmark
    2/5 · Getting there

    Try it: Write five real questions from your work and run them through two AI tools.

  • Guardrails
    2/5 · Getting there

    Try it: Write three things an AI should never do in your business without asking you first.

  • Hallucination
    2/5 · Getting there

    Try it: Ask an AI a very specific factual question about your industry, then check the answer against a real source.

  • Machine Learning
    2/5 · Getting there

    Try it: List one decision in your work that you make from experience. That's a candidate for machine learning.

  • Prompt Engineering
    2/5 · Getting there

    Try it: Take one prompt you used recently and add three details: who it's for, how long, and what tone.

  • Calibration
    3/5 · Trickier

    Try it: Compare an estimate (yours or an AI's) to the real result of one recent job. How far off was it? That gap is what calibration shrinks.