Home Base · Written lesson
Make Your AI Better the Next Time
How Home Base preserves what worked, what failed, and what should change before the next run.
Watch
Video coming with the Home Base series · 9 min
Improve from evidence
A useful learning loop records the result, the review, and the change that should be tested next. It does not silently rewrite the system after every run.
Separate a signal from a pattern
One unusual result may be noise. Preserve it, but change the method only when the evidence or the consequence is strong enough to justify a deliberate revision.
Version the behavior you change
Record what changed, why it changed, and which result should improve. That creates a reversible experiment instead of invisible drift.
Copyable resources
Learning receipt
Record one result without silently changing the system.
Copyable text
Run and date:
Expected result:
Observed result:
Evidence:
Reviewer decision:
One proposed change:
How the next run will test it:
Related Skills
- YouTube Action Plan: Turn a useful video into a focused plan you can apply, test, and revisit instead of another pile of notes.