concept-synthesis

To deduplicate raw concept stubs into a tiered knowledge map, run the concept-synthesis workflow which deterministically canonicalizes ideas, assigns tier scores, and synthesizes top concepts into a cohesive intellectual map. It reduces noise across large note pools and research archives.

Concept synthesis is the process of deduplicating and organizing raw concept stubs across sources and timelines into a tiered intellectual map. It canonicalizes ideas, assigns T1 and T2 tier scores, and generates rich narratives for scalable knowledge governance.

You organize a knowledge graph by processing raw stubs through the concept-synthesis workflow, which assigns tier scores and synthesizes T1 and T2 concepts. It maps clusters and exports outputs under a concepts directory with frontmatter for discoverability.

Yes, you can cluster and synthesize top concepts across large research archives using the concept-synthesis workflow. It applies deterministic deduplication to canonicalize ideas, assigns tiers, synthesizes top concepts into rich narratives, and writes mapped outputs with frontmatter.

The best way to canonicalize duplicate ideas in a note pool is to run the concept-synthesis workflow, which deterministically deduplicates raw concept stubs. It organizes ideas across sources and time, assigning tiers and synthesizing top concepts into a discoverable knowledge map.

The concept-synthesis workflow writes mapped cluster outputs under a concepts directory with frontmatter included. This ensures the synthesized top concepts and tiered intellectual map remain discoverable within your research archives and knowledge graphs.