Seven free guides for using AI in everyday work or building a small tool. Choose the route that fits your goal; the lesson numbers help you find your place.
A lesson plan. A product description. A clearer weekly update. Start with an everyday task using a chat tool, then try building software if that interests you.
Start with an everyday task →Practice choosing a tool, checking its output, and giving it useful instructions. No coding setup is needed.
Learn saved project history, guide a coding assistant, and test a tool on your own computer.
Before installing tools or granting access, read 06 · Keep a human in the loop.
Begin the builder route →You set the goal and the boundaries. AI helps with the detailed work. You try the result, ask questions, and decide what is ready to use.
Each guide includes something to try and a result to check.
A saved project history you can explain: what stays on your computer, what is committed, and what reaches GitHub.
Read lesson →A short task brief and a comparison of two tools using the same sample input, checked against the result you need.
Read lesson →A local three-task desktop app with notes and a timer, built and checked one working milestone at a time.
Read lesson →An editable playbook for one repeated task, with an example, factual limits, and a clear definition of done.
Read lesson →A short set of working instructions and a test of how the assistant handles tone, missing details, and permission.
Read lesson →A review checklist and a workflow showing who checks a draft, approves an action, and verifies the result.
Read lesson →A small experiment brief with a useful output, a success measure, an access boundary, and a time or cost cap.
Read lesson →Choose one everyday task and check what the tool produces. Want to work through a problem with your team, class, or community group? Tell me who you want to teach and what they want to learn.
Start with an everyday task →