Story Maker

Pick a dataset, choose a masking profile, and download a name-masked packet — data, a ready-to-use AI prompt, reading rules, and a README — that a fresh AI session can use to recover the story of an organisation's journey through time from eight functional nodes.

Name-masking is not anonymity. The society names are removed from the packet, but the data is public and its patterns — including the historical knowledge built into the scoring — can suggest or confirm identity to a reader with contextual knowledge. The person choosing the dataset (you) knows the identity; the packet protects only the downstream reader, such as a fresh AI session or a colleague starting blind.

1. Choose dataset and masking profile

Source: analysis/cams_personality_replication_public_kit_v1/inputs/arm_a_standard/

Select a dataset to enable.