agentprivacy-constellation-method

The constellation method is an information architecture approach where users connect disparate information fragments to form subjective meaning. It builds a personal knowledge graph by treating edges as personal assertions of connection, fostering generative knowledge discovery rather than passive data consumption.

You structure documentation using fragmentation as a design principle, organizing information across diverse sources like articles and code. This encourages user-driven connection-making, allowing individuals to discover insights through unique connections and co-create personal meaning.

Fragmentation addresses the challenge of managing information in a way that fosters personal meaning and generative knowledge. Instead of passively consuming consolidated data, users actively connect disparate fragments to build subjective, meaningful overlays on public knowledge.

A promise graph enables users to build a subjective, meaningful overlay on public knowledge where edges represent personal assertions of connection. This treats specific knowledge as capital, allowing individuals to map relationships between fragments uniquely.

Yes, the constellation method organizes information across diverse sources including spellbooks, articles, inscriptions, and code. Knowledge architects can use this approach to structure AI memory systems so users discover insights through their own unique connections.

Relying on serendipity as a protocol requires users to actively connect disparate fragments themselves, meaning knowledge discovery depends entirely on individual effort. Without user-driven connection-making, fragmented information remains disconnected and lacks consolidated structure.