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Managing Nodes

Nodes change after you create them: names get corrected, duplicates need merging, bodies grow. This page is about what each of those actions actually does.

Renaming

A node's name is not a display label — it is the text between [[ ]] in your notes. So renaming rewrites every note citing it, and the confirmation says exactly how many:

Rename "attention residue" to "task-switching cost"? This will update 12 notes.

Afterwards every [[attention residue]] across those 12 notes carries the new name, with no link lost.

Which is why the name is worth settling early: a node's name lives inside your prose.

Merging Duplicates

Concepts drift apart as you write: "user retention" and "retention rate" turn out to be one thing. When a name collides, Jotaid raises Duplicate Node Found with two actions:

ActionWhat it does
Merge NodesTwo nodes become one; both sets of references combine
Merge ContentsMerges their bodies along with them

Merging cannot be undone, so it is worth opening both nodes first.

Enriching Content

A node's body is written like any other note. When it stalls, Enrich Content on the node's detail page has the AI draw on the notes referencing it to expand that concept into a first draft you can build on — rather than a blank page.

Needs Pro and an API key.

You have written "attention residue" across a dozen notes, but only one or two actually carry [[ ]]. Those plain-text mentions do not count as links: they stay out of backlinks and out of the graph.

Two buttons backfill them:

ButtonWhereScope
LinkBeside an unlinked mention in a noteConverts the mentions in that one note
Link AllOn a node's row in the node listConverts this node's mentions across every note at once

Once backfilled, those notes appear under the node's backlinks immediately, and the graph and matrix update with them.

This works on exact literal matches — no AI, free on every tier. See Unlinked Mentions.

Deleting a Node

Deleting a node removes the concept and its body. Your notes are untouched — the [[ ]] in them reverts to ordinary text.

If the goal is simply to get a node out of the graph, merging it into the more accurate concept is usually the better move.

Next Steps