Thought Navigator

Thought Navigator was born from frustration with GPT's one-chat-at-a-time limitation. When scaffolding big structures, I wanted to ask 10 similar questions simultaneously and use those outputs for further reasoning.

The concept emerged from a specific use case: taking a topic, creating categories, then generating articles for basic, intermediate, and advanced readers for each category. Drawn on paper, this quickly became a graph structure.

This sparked my investigation into knowledge graphs and LLM-infused graph traversal - the idea of systematically navigating through interconnected thoughts and concepts using AI.

However, the project revealed a critical insight: whenever I tried to explain the tool to others, their eyes would glaze over around the moment I needed to explain what a graph is. This user experience challenge led me back to the drawing board and ultimately to BulkText AI.

While conceptual, Thought Navigator represents an important exploration into how we might structure and navigate complex reasoning with AI assistance. The lessons learned directly influenced the more practical approach taken in BulkText AI.