This capstone is where the course becomes personal. Instead of learning features in isolation, the reader chooses a real use case and builds a compact, durable system around it.
Module summary
The goal is not to build the biggest setup.
The goal is to leave with a working system: a use case, a prompt library, one custom GPT, one research workflow, one continuity system, and a small portfolio of artifacts that prove the setup is real.
Lessons in this module
pick-your-use-case- Choose a concrete use case so the capstone stays grounded.build-your-prompt-library- Save prompt patterns that are worth reusing.build-one-custom-gpt- Turn one repeated job into a focused custom GPT.build-one-research-workflow- Create a repeatable source-backed or deep-research process.build-one-continuity-system- Add memory, projects, tasks, or Temporary Chat defaults where they help.final-portfolio- Assemble the finished artifacts into a small operating portfolio.
How to use this module
Pick one real area of work.
The capstone works best when it is anchored to an actual recurring need such as writing, teaching, research, product work, operations, or coding. Abstract examples make weak systems.