Get AI summaries of any video or article — Sign up free
Linking notes: 3 ways to find connections between your ideas in your second brain thumbnail

Linking notes: 3 ways to find connections between your ideas in your second brain

Greg Wheeler·
5 min read

Based on Greg Wheeler's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Connect new ideas to existing notes immediately to strengthen the network instead of storing thoughts in isolation.

Briefing

A second brain gets stronger when ideas are deliberately connected instead of stored in isolation—an approach likened to redwood trees whose massive height depends on an interconnected root network. The practical takeaway is straightforward: when a thought shows up, it should immediately link to related thoughts so the system can “grow” over time through relationships, not just accumulation.

The first method is “first thoughts,” capturing the connection your mind makes in the moment. When an idea, article, or story triggers something else, that association is already forming. The workflow is to search for the related item right away; if the linked reference exists in the second brain, connect the new note to it. If it doesn’t exist yet, record it as another thought while the association is fresh, so the system doesn’t lose the trail of reasoning. A key detail is that Craft supports linking at a granular level: instead of linking only to whole documents or pages, notes can be linked to specific blocks within those documents. That specificity improves discoverability and makes it easier to understand why a connection was made later—down to the exact sentence or quote that originally sparked the link.

The second method is “ask questions,” using prompts to force the brain into associative mode. Rather than treating note-taking as passive capture, the approach builds a habit of asking self-directed questions whenever an idea is written down. Examples include: What does this idea remind me of? Where have I seen it before? What project could benefit from it? What comes before or after this thought? These questions act like triggers that help surface related memories and neighboring concepts. To reduce friction, the transcript recommends using templates that already contain question prompts, so the user can fill in answers and then connect to other notes without having to recreate the questioning process each time.

The third method is “search for keywords,” a retrieval-based way to uncover connections that the first two methods might miss. After saving an article or capturing a thought, the user searches the second brain for relevant topic keywords. This often reveals notes that were previously written but forgotten—connections that didn’t appear during the initial capture. The workflow can be accelerated by using AI inside Craft to generate a list of keywords from the idea or article, then searching those terms to find additional related notes. Together, the three methods—instant linking from first thoughts, guided association through questions, and targeted discovery via keyword search—create a network where ideas reinforce each other and become easier to reuse.

Cornell Notes

Ideas become more useful when they’re connected, not stored alone—similar to how redwoods rely on an interconnected root system to grow. The transcript offers three linking methods for a “second brain.” First, use “first thoughts” by immediately searching for what your mind associates with and linking to it (including specific blocks for precision). Second, “ask questions” to trigger associations, with templates that pre-load prompts to keep the habit consistent. Third, “search for keywords” to find related notes you may have forgotten, optionally using AI in Craft to generate keyword lists for faster discovery.

Why does “first thoughts” emphasize linking immediately, and what’s the exact workflow?

The method is built around the idea that the brain forms associations as soon as an idea is captured. When a new thought, article, or story triggers something else, the user should search right away for the related item in the second brain and link the new note to it. If nothing relevant exists yet, the user records the triggered association as another thought so the connection isn’t lost. Craft’s block-level linking is highlighted as a way to connect to the exact sentence or quote that caused the association, improving later understanding of why the link was made.

How do self-directed questions create better connections than note-taking alone?

Questions act as triggers that push the brain to make associations. The transcript lists examples such as: What does this idea remind me of? Where have I seen this before? What project am I working on that could benefit from it? What comes before or after this thought? Answering these prompts surfaces related memories and neighboring concepts, which then become candidates for linking to existing notes.

What role do templates play in the “ask questions” method?

Templates reduce the mental overhead of remembering which prompts to use. By creating a note template (or “new idea template”) that already includes question prompts, the user can open the template and answer the questions immediately. That consistency helps maintain the habit of questioning and makes it easier to then link the resulting idea to other documents.

Why use “search for keywords” even if “first thoughts” and “ask questions” are already working?

Keyword search is a retrieval method that can uncover connections missed during initial capture. After saving an article or jotting down an idea, the user searches the second brain for topic-related keywords. This often surfaces notes that were written earlier but forgotten, revealing relationships that didn’t appear during the moment of capture.

How does AI support the keyword-search workflow in Craft?

AI can generate a list of keywords based on the idea or article being captured. The user then searches those generated keywords within the second brain to find additional related notes. This speeds up the discovery process and broadens the set of connections beyond what the user might think of manually.

Review Questions

  1. Which of the three methods relies most on capturing associations in the moment, and what specific linking capability makes it especially effective?
  2. Give two examples of questions that could trigger connections, and explain how answering them would lead to linking.
  3. How does keyword search help find connections that might not appear through first thoughts or question prompts?

Key Points

  1. 1

    Connect new ideas to existing notes immediately to strengthen the network instead of storing thoughts in isolation.

  2. 2

    Use “first thoughts” by searching for the association that appears while capturing an idea, and link to it right away.

  3. 3

    Take advantage of block-level linking so connections point to the exact sentence or quote that triggered them.

  4. 4

    Build a habit of “ask questions” during capture using prompts like reminders, prior experiences, and relevant projects.

  5. 5

    Use templates with pre-loaded questions to remove friction and keep the questioning step consistent.

  6. 6

    Use “search for keywords” to retrieve forgotten related notes and expand connections beyond the initial associations.

  7. 7

    Use AI in Craft to generate keyword lists that make keyword-based discovery faster and more thorough.

Highlights

Redwood trees are used as a metaphor: height comes from interconnected roots, mirroring how ideas grow stronger when linked.
Block-level linking in Craft lets connections reference the exact sentence or quote, making the “why” behind a link easier to recall.
Keyword search can uncover notes that were written earlier but forgotten—connections that don’t always surface during first capture.
AI can generate keyword lists inside Craft, turning keyword discovery into a faster, more systematic step.

Topics

Mentioned