Chain-of-thought (CoT) is how we make reasoning visible — not just the final answer, but the steps that get you there. Wenodify Idea Map now includes a dedicated graph type so you can author that trace on a tree canvas and export it for lessons, chatbots, or preservation platforms.
Why a graph, not a document?
A linear doc hides structure. A tree keeps the problem at the root, branches for alternative paths, and sibling order for the sequence of thoughts. That matches how tutors explain, how LLMs reason, and how learners review work step by step.
Authoring pattern
- Root label — the problem or question.
- Root body — optional context or constraints.
- Child nodes — reasoning beats in sibling order (Observe, Deduce, Conclude).
- Child body — the full thought for each beat.
Pick Chain of Thought in the graph-type picker before you start. Preview walks the chain with Back and Next — the same order your JSON or SQL export will use downstream.
Export and delivery
Exports land as wenodify-cot.json or .sql with graph_type: cot. Loaders read sibling order as the reasoning chain and parent_id for nested sub-traces. Studio stays the authoring surface; your platform handles reveal animations, collapsed thoughts, or assessment.
One tree skeleton — seven export shapes. CoT is the shape for reasoning traces.
