Complete
Give your work a home
Git, GitHub, and the simple mental model that lets an AI assistant help without leaving you in the dark.
Read lesson ->Become more capable.
Not more dependent.
AI can do extraordinary work. Your job is to understand the purpose, set the boundaries, and know enough to ask good questions. These short lessons help you build that fifty-foot view.
The model can be the detailed knowledge worker. You remain responsible for what you are trying to make, what it is allowed to touch, and whether the result is good enough to trust.
Start here
Choose the right kind of AI
Start with the job, then choose a mode and tool that fits: chat, agent, coding, image, video, or automation.
Begin lesson ->Start here
Build your first useful thing
Build a focused three-task desktop app with an AI coding agent - one small, real win at a time.
Begin lesson ->Start here
Teach the tool how you work
Create durable context and reusable skills so the work becomes more consistent without repeating yourself.
Begin lesson ->Start here
Onboard your AI
Set up a new assistant with the right context, scoped permissions, and a real test before trusting it with work.
Begin lesson ->Start here
Keep a human in the loop
Review, accountability, privacy, and verification: the guardrails that make AI useful instead of reckless.
Begin lesson ->Start here
Go further when you are ready
Explore APIs, local models, deeper automation, and agent workflows after the foundation is in place.
Begin lesson ->You do not need to
learn everything.
Start with one real problem. Let the tools grow with your confidence, not ahead of it.
Continue with lesson seven ->