This page is a Windows version of the course map, which does not disclose complete warehouse templates, hints, daily processes, memory rules and receiving and inspection assets.
What’s the problem with this?
The easiest thing to do after class is to keep the tools on the computer and not the method. The last level is to connect items, journals, discs and AI context so that daily inputs become assets that can be used in the future.
What will you finish?
- Turning GitHub from a code hosting to an asset bank for personal projects and works.
- Minimum record-tacking habits to keep first-hand information.
- Let AI understand the current project with clarity of privacy and recognition of boundaries, rather than introducing itself from scratch each time.
Criteria for success
You have an up-to-date project asset bank, a record-keeping system and a process that can restore the necessary context in a new conversation; memory is written to you, and privacy data is left in place.
Capacity migration
You don’t use AI as a one-off answer machine, but you put it in a long-term learning, creation and project reset. The goal of the system is not to record everything, but to reduce repetition and leave the focus to judgement.
Full Version Status
The complete version of the progress is being processed and is not being sold. The full version will provide a template for the project and the journal, context extract cases, privacy boundaries, acceptance methods and ongoing updates.
Return:Windows Course Map。