The notes surface in NotebookLM In this channel's material, the noteboard is the area of NotebookLM where you collect saved passages while exploring your sources. When an answer or citation resonates, you use add to note to pin it onto the noteboard — Steven Johnson does exactly this during the Apollo 1 session, clicking through citations and saving the relevant passages [^0cc0dd07-dc88-5d83-8cf7-2f6e48821796@2204]. Why it matters in the workflow The noteboard is more than a scratchpad: pinned notes become a focused context you can select for follow-up prompts. In the live exploration, Johnson selects his pinned notes — including the Piccard quote — and asks the model to generate an opening script grounded only in those curated notes [^0cc0dd07-dc88-5d83-8cf7-2f6e48821796@3114]. Notes and sources are separate contexts in NotebookLM; you can focus the model on one or the other, and the suggest related ideas prompt works over a selected note to find related material in the sources [^0cc0dd07-dc88-5d83-8cf7-2f6e48821796@2779]. How it fits Johnson's method The noteboard embodies the emergent chaos approach: dump what resonates in one place — including things you don't yet understand — and let search and the model surface connections later. Curation happens on the noteboard; the machine makes the links. - The noteboard is NotebookLM's notes area where saved passages from citations and answers collect. - Add to note saves a cited passage onto the noteboard during exploration. - Pinned notes form a separate selectable context you can prompt against — e.g., generating a script from curated notes only. - The suggest related ideas prompt bridges a selected note back to the sources.