See how your notes are connected
A graph of your library and the team’s shared notebooks: links you draw yourself, links AI finds with a reason, and no personal note exposed.
Anna has been an analyst at a small consultancy for four years. She has about six hundred notes: client meetings, extracts from reports, scraps of thought after conferences. The team keeps shared notebooks for every study, and there are as many notes again in those.
In September the team made a pricing decision for a retail client. Anna was sure she had seen figures a year earlier that contradicted it. Where exactly, she could not remember.
The note nobody was looking for
It turned up through the graph: a note from last March, a meeting with the former director of a retail chain, two lines about margins. Anna had not thought much of them at the time. The link to the shared notebook was proposed by AI, with an explanation of what the contradiction was.
The team’s decision was reviewed, although Anna had insisted on nothing. The question had simply made it onto the table.
A map instead of memory
Now, once a month, Anna looks at the graph of her library next to the working notebooks. It feels like a city map where you can see which districts you know well and which you have not visited in a long time.
Most of the links she draws herself while writing. AI is for the ones she would not have noticed.
Personal stays personal
Her colleagues do not see her conference notes, where she wrote frankly what she thought of other people’s talks. The graph shows links, not contents. What to show the team, Anna decides herself, note by note.
For her that is the condition without which there would be no second brain: you can only write everything down in a place where nobody reads over your shoulder.
How it works, step by step
Open the graphLink by hand and say whyAsk AI to find what you missedPut your library next to the team’s notebooksNobody sees your personal notesWhat costs points and what does notOpen the graph
Second brain draws your notes as dots and the links between them as lines. Anna, an analyst, has collected 600 notes over two years. On the graph she sees a dense cluster around “pricing”, while “logistics” hangs to the side with three links.
Click a dot and the note opens. Its neighbours light up. Browsing the graph is free; it spends no AI points.
Link by hand and say why
Select two notes and create a link. Give it a reason: “source of the conclusion”, “contradicts”, “example”. Anna links a note about a client meeting to the note “Demand hypothesis” and writes: “confirms it, quote on page two”.
A manual link stays yours, and AI does not touch it. On the graph it looks different from a link that was found automatically.
Ask AI to find what you missed
Choose the scope: your personal library, the shared notebooks you have access to, or both. AI reads the notes and proposes links: common themes, overlaps, contradictions, gaps. Every proposed link has a reason and says which notes it was derived from.
Anna sees a proposal: her note from March about a competitor’s prices contradicts a conclusion in the team’s shared notebook from September. She opens both, reads the reason, keeps the link or deletes it. The operation costs points, and the estimate is shown before it starts.
Put your library next to the team’s notebooks
Your personal library and the shared notebooks live apart, but the graph can show them together. Anna selects her library and the shared notebook “Market study 2026”. AI finds that three of her personal observations answer questions the team had written down as open.
Every dot on the graph shows where it comes from: your library or a shared notebook. A finding can be carried into a project as a link, without copying.
Nobody sees your personal notes
A link between your note and a shared notebook does not open your note to colleagues. They see only what they have access to. If you want to show a finding to the team, share that note separately.
When access to a shared notebook is revoked, the graph is reviewed: links to the closed source and conclusions based on it are marked. AI will not reveal through an answer something a person is not allowed to see.
What costs points and what does not
Browsing the graph, manual links and reading notes are free. Only AI analysis spends points. How many depends on the volume: going through ten notes in one notebook and through a whole library from two years are different amounts of work.
You see the estimate before it starts. Anna usually runs an analysis on one notebook once a month; that is enough for her. Your notes and links stay with you in any case.
Where to go next
An online store: from a supplier spreadsheet to a launch planFrom meeting notes to shared understanding
Start with one notebook.
The Personal plan is free: notes, files and search. AI and shared notebooks can be added later, when a project needs them.
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