Knowledge Graph Roadmap
§ 01 — Nomenclature update
This node predates the current stack. "Gems" are now nodes. The WordPress pipeline became Sanity. The Knowledge Graph is now the visual layer over nodes, articles, and case studies — not the archive itself. The AI's instinct to build a graph instead of writing a comparison chart was the correct call (so sayeth Claude, an AI agent).
This roadmap describes the evolution of the Knowledge Graph subsystem within Sugartown, not the platform as a whole. The Sugartown Knowledge Graph is being built deliberately in layers. Each phase stabilizes the system before expanding capability, ensuring that complexity never outruns clarity.
This roadmap reflects an intentional sequencing: architecture first, interaction second, intelligence last.
Near Term (0–3 Months): Foundation & Narrative Coherence
This phase hardens the system and makes it legible—to humans as well as machines.
- Finalize Gem content model (single-category, tag-driven topology)
- Normalize archive behavior (query hygiene, consistent filtering, stable URLs)
- Complete documentation across repos (CMS, design system, release process)
- Stabilize Knowledge Graph landing experience as a narrative entry point
- Improve accessibility and reliability of SVG-based visualizations
Mid Term (3–6 Months): Interaction & Discovery
Once the data model is stable, interaction becomes the focus.
- Force-directed Knowledge Graph visualization (Python → SVG pipeline)
- Interactive filtering beyond URL parameters
- Clickable tag and category clouds spanning Gems, Blog, and Case Studies
- Shared discovery patterns across content types
Longer Term (6–12 Months): Intelligence Layer
The final layer adds meaning, not just structure.
- Weighted relationships between Knowledge Graph nodes
- Explicit modeling of idea strength, recency, and influence
- Relationship algorithms to surface non-obvious connections
- Expanded visualization modes as system maturity allows
This sequencing keeps the system understandable at every stage—no speculative features before the foundation is ready to support them.