Learning Lab

Practical field guides for AI, agents, prompting, and better ways of working.

These are plain-language learning materials I build to explain how modern tools work, where they fail, and how teams can use them responsibly. Read a guide, take a quiz, try a workshop, or use a playbook to apply the ideas to real work.

Start learning Browse all materials

Start here

A short path through it all.

New to this? Follow the steps in order. Each one builds on the last, from how AI works to putting it to use.

  1. 01

    Understand what AI is, and is not

    Start with how a language model actually produces text. No magic, just probabilities and patterns.

  2. 02

    Learn to prompt effectively

    Once you know how the model works, learn to ask for what you want and get a reliable result.

  3. 03

    See what happens when AI takes action

    Give a model tools and a goal and it becomes an agent. Understand the loop, and the new risks.

  4. 04

    Test your understanding

    Each guide ships with a short companion quiz. Use them to check what actually stuck.

  5. 05

    Apply it to real work

    Workshops and playbooks turn the ideas into something you can run on a real task.

Field guides

The core learning path.

Long-form visual guides that explain a big concept in plain language. These three connect into one path, read in order or jump to the one you need.

  1. 01
    Field guide AI Available

    AI Is Not Intelligent

    A plain-language look at what large language models actually do, including probabilities, tokens, hallucinations, context windows, and pattern prediction, while exploring why so many people mistake the output for genuine understanding.

    ~45 min read
    Read the guide Take the quiz
  2. 02
    Field guide Prompting Available

    The Art & Science of Prompting AI

    A practical walkthrough of how to prompt large language models well: the structure, context, and iteration that separate a vague request from a reliable result.

    ~60 min read
    Read the guide Take the quiz
  3. 03
    Field guide Agents Available

    When AI Takes Action

    A plain-language look at AI agents. It covers what an agent really is once you give a language model tools and a goal, how the perceive-decide-act-observe loop works, where memory and planning come from, why agents fail differently than chatbots, and the security risks of letting AI act.

    ~45 min read
    Read the guide Take the quiz

Quizzes & challenges

Check what actually stuck.

Short interactive quizzes that go with each guide. A few minutes to see whether the ideas landed, no sign-up, no score kept.

Workshops

Hands-on, applied to real work.

Guided exercises that take a concept off the slide and onto a real task you can work through.

Coming soon

Workshops are on the way. They will include guided exercises for AI use cases, prompting, workflow analysis, and team decision-making.

Playbooks & templates

Reusable tools you can keep.

Practical canvases and checklists you can lift straight into your own work. Here is what is coming first.

Better ways of working

Where the AI learning meets real work.

Material on business agility, workflow clarity, decision-making under uncertainty, running experiments, and keeping a team aligned. This is the bridge between learning the tools and improving how the work actually happens.

Coming soon

Guides and playbooks on business agility and clearer workflows are in progress. They will sit right next to the AI material, because the two solve the same problem from different ends.

What is coming

This is a space that keeps growing.

Field guides land first, then the quizzes that go with them, then the hands-on workshops and reusable templates. If there is something you would find useful, tell me and it moves up the list.