Systems that learn.

The outcome I actually want is easy to say and hard to build: a system that improves with use. Use leads to learning, learning to improvement, improvement back to use. Most systems never close that loop — every project re-learns lessons the last one already paid for.

Expert-in-the-loop is the discipline that closes it. It doesn’t change who designs or what tools they use; it changes whether learning compounds or resets. The whole trick is where the learning goes — not into new files, one-off decks, or forgotten conversations, but into system memory tied to an outcome.