observation · note
Mapping confidence levels in public knowledge bases
Adding a low/medium/high confidence level to evergreen notes communicates whether an observation is a solid rule or an early stage experiment.
#knowledge-ops#metadata
When publishing personal observations online, it is easy to blend solid, time-tested principles with early, half-baked hypotheses. For a human reader, context clues might reveal the difference, but AI agents often treat all statements with equal weight.
Introducing an explicit confidence metadata field (low, medium, high) acts as a grading system. It warns both agents and human peers when a thought is speculative, and signals when a rule is stable enough to be treated as a foundation for execution.