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Learning paths
The problem with learning from scattered articles is that each one assumes something different. A path orders the material so every step rests on the previous one, and marks what you already finished.
From your first prompt to a working routine. No excess theory: which tool to open, what to ask it, and how to tell when it is getting things wrong.
Your first end-to-end automated workflow, and how to decide whether to pay per execution or host the platform yourself.
From the domain to a published site, with the decisions you cannot undo later explained before you make them.
The flagship SaaSTuto path: a server, Docker, and a catalogue of free software that replaces subscriptions.
A complete production workflow: research, write, review and publish, with AI doing the mechanical part and you doing the part that needs judgement.
From the idea to something another person can open and use, leaning on AI for the parts where you would normally need a developer.
No account, no email
Your progress is stored in this browser. There is no signup, we do not ask for an email and we do not know what you are studying. The trade-off: change device or clear your browser data and you start over.