After creation, you can update a cluster's core information:
Manage the cluster's membership at any time:
Changing cluster membership does not affect the signals themselves. Signals removed from a cluster remain in the system and in any other clusters they belong to.
Once a cluster has signals, you can run or re-run AI analysis on the cluster as a whole. The analysis examines all member signals collectively to surface:
You can view the full analysis output and re-analyze at any time, such as after adding or removing signals.
Reflections can be generated or written at the cluster level, providing an interpretive layer across the entire grouping. Cluster reflections consider the combined context of all member signals and their analyses.
Each cluster has a permanent, shareable URL. When you share a cluster link, recipients see the full arc: the cluster's analysis, its member signals, and any reflections -- all presented as a cohesive unit. Visibility settings determine what each viewer can access.