Evidence and limits
Finding: Team performance depends partly on whether people can form a usable mental model of the AI's error boundary, which is affected by task complexity and error predictability.
Impact: Strengthen capability-boundary legibility. Reject aggregate accuracy as evidence that a participant can anticipate when to rely.
Boundary: Controlled classification tasks do not capture open-ended tool use or authority. Next: what minimal capability statement remains accurate after configuration and version changes?
Flags: structured classification; author-family overlap
Record State: Catalog review recorded; not a performance endorsement
What was reviewed: Structure and relevance screened; not a full evaluation