Thought Map | jkspeaks.com

Understanding the Thought Map

A quick guide to knowledge graphs

Nodes

The dots on the graph

Each dot represents either a Topic (larger, coloured by cluster) or a Post (smaller, coloured by writing phase). Size = number of connections.

💡 AgenticAI is one of the largest nodes — it connects to 10 posts across all 4 writing phases.

Edges (Links)

The lines connecting nodes

A line between a Post and a Topic means that post covers that topic. Posts connected to the same Topic are thematically related, even if written months apart.

💡 The post "Control the Agent" links to AgenticAI, AIGovernance, and EnterpriseAI — three edges revealing its cross-cluster reach.

Clusters

Groups of related topics

Topics are grouped into 4 clusters: Core AI (strategy & governance), Technical (engineering & models), Domain (retail, martech), and Brand (JK's own frameworks).

💡 Filter by Core AI to see how JK's writing on agentic strategy, enterprise AI, and governance forms one interconnected body of work.

Force-Directed Layout

Why nodes move where they do

The graph uses physics simulation — connected nodes attract each other; all nodes repel their neighbours. Heavily-linked topics naturally drift to the centre; isolated posts move to the edges.

💡 AgenticAI sits near the centre because it pulls in posts from every phase. MachineLearning floats to the edge — only one post links to it.

⚙ Quick controls

Hover over any node to see its title and highlight its direct connections
Click a node to open the detail panel on the right with full post info or topic connections
Scroll / pinch to zoom in and out; drag the background to pan
Drag any node to reposition it — the rest of the graph adjusts in real time
Year & Cluster filters at the top dim unrelated nodes, letting you focus on a slice of the writing
Search box jumps directly to a post or topic by name
☀ / 🌙 toggle (top-right) switches between dark and light themes