Getting Started with AI
- The models — what they are and how they differ
- What AI can and can't do on work like yours
- Chatting — getting useful answers in plain conversation
Learn AI the lean way: skill by skill, in small steps, applied to your actual work.
AI Skills Dojo is a collection of lessons, exercises, and skills for using AI at work — from your first conversations with the models, to writing skill files, to building working tools. Built for working professionals, not programmers.
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Why learn this
AI is changing how knowledge work is done.
AI is the largest change in knowledge work since the personal computer. It already writes, analyzes, plans, and researches alongside people who know how to direct it, and it will reach every job that runs on knowledge and documents.
Most AI training stops at chat tips and demonstrations. The dojo treats AI as a skill set — learned one at a time, with practice, applied to real work, refined with reflection. Your job knowledge is the foundation. None of it requires programming.
The areas
What the dojo teaches.
Learn the Basics of AI
- Putting the model in a role — coach, critic, interviewer, drafter
- Giving it your context, format, and standards
- Checking the output before you trust it
Creating Skills with AI
- What a skill file is — your method, written down as a standard
- Writing your first files for your own job
- Improving and sharing them with your team
Building Apps with AI
- A simple interface around your skill files
- Connecting your own documents and data
- Supervising AI agents that run multi-step work
Not sure where to start?
A short self-assessment — five questions, about two minutes — recommends a starting point based on how you use AI today. Optional.
The method
Every skill is learned the same way.
- Learn the concept. Explanations, a demonstration, and an interactive example.
- Practice the skill in the dojo. Apply the skill on prepared examples, then alter them to your own situation.
- Use it in your daily work. Apply the skill in your work environment on real tasks.
- Reflect. Refine what works and decide what further skills you need to learn.
