Observe
Structured findings, not objective grades.
Refresh observations grounded in configured meaning and the bounded story evidence selected for the task.
What it does
Evaluation is the background process that produces or refreshes observations. Structured fields can describe dimensions such as awareness, tension, voice, trajectory, or a project-specific metric, while evidence and confidence keep the finding inspectable.
Why it matters
Comparable values help an author notice movement and contrast across scenes. They do not establish a universal theory of quality or tell the author what must be fixed.
- Canonical observations are stored under
ai.observations. - Metric notes supply the author’s interpretive meaning.
- Configuration controls the eligible targets and bounded context.
- Custom dimensions can express the questions a particular story needs.
- Saved observations become durable material for ObservaStory workspaces and lenses.