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581 lines
12 KiB
Markdown
581 lines
12 KiB
Markdown
# Working with Notes - Capturing and Organizing Insights
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Notes are your processed knowledge. This guide covers how to create, organize, and use them effectively.
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---
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## What Are Notes?
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Notes are your **research output** — the insights you capture from analyzing sources. They can be:
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- **Manual** — You write them yourself
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- **AI-Generated** — From Chat responses, Ask results, or Transformations
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- **Hybrid** — AI insight + your edits and additions
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Unlike sources (which never change), notes are mutable — you edit, refine, and organize them.
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---
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## Quick-Start: Create Your First Note
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### Method 1: Manual Note (Write Yourself)
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```
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1. In your notebook, go to "Notes" section
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2. Click "Create New Note"
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3. Give it a title: "Key insights from source X"
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4. Write your content (markdown supported)
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5. Click "Save"
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6. Done! Note appears in your notebook
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```
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### Method 2: Save from Chat
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```
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1. Have a Chat conversation
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2. Get a good response from AI
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3. Click "Save as Note" button under response
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4. Give the note a title
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5. Add any additional context
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6. Click "Save"
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7. Done! Note appears in your notebook
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```
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### Method 3: Apply Transformation
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```
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1. Go to "Transformations"
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2. Select a template (or create custom)
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3. Click "Apply to sources"
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4. Select which sources to transform
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5. Wait for processing
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6. New notes automatically appear
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7. Done! Each source produces one note
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```
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---
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## Creating Manual Notes
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### Basic Structure
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```
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Title: "What you're capturing"
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(Make it descriptive)
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Content:
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- Main points
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- Your analysis
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- Questions raised
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- Next steps
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Metadata:
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- Tags: How to categorize
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- Related sources: Which documents influenced this
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- Date: Auto-added when created
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```
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### Markdown Support
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You can format notes with markdown:
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```markdown
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# Heading
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## Subheading
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### Sub-subheading
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**Bold text** for emphasis
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*Italic text* for secondary emphasis
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- Bullet lists
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- Like this
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1. Numbered lists
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2. Like this
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> Quotes and important callouts
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[Links work](https://example.com)
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```
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### Example Note Structure
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```markdown
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# Key Findings from "AI Safety Paper 2025"
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## Main Argument
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The paper argues that X approach is better than Y because...
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## Methodology
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The authors use [methodology] to test this hypothesis.
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## Key Results
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- Result 1: [specific finding with citation]
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- Result 2: [specific finding with citation]
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- Result 3: [specific finding with citation]
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## Gaps & Limitations
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1. The paper assumes X, which might not hold in Y scenario
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2. Limited to Z population/domain
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3. Future work needed on A, B, C
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## My Thoughts
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- This connects to previous research on...
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- Potential application in...
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## Next Steps
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- [ ] Read the referenced paper on X
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- [ ] Find similar studies on Y
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- [ ] Discuss implications with team
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```
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---
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## AI-Generated Notes: Three Sources
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### 1. Save from Chat
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```
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Workflow:
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Chat → Good response → "Save as Note"
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→ Edit if needed → Save
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When to use:
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- AI response answers your question well
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- You want to keep the answer for reference
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- You're building a knowledge base from conversations
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Quality:
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- Quality = quality of your Chat question
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- Better context = better responses = better notes
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- Ask specific questions for useful notes
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```
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### 2. Save from Ask
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```
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Workflow:
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Ask → Comprehensive answer → "Save as Note"
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→ Edit if needed → Save
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When to use:
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- You need a one-time comprehensive answer
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- You want to save the synthesized result
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- Building a knowledge base of comprehensive answers
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Quality:
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- System automatically found relevant sources
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- Results already have citations
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- Often higher quality than Chat (more thorough)
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```
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### 3. Transformations (Batch Processing)
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```
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Workflow:
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Define transformation → Apply to sources → Notes auto-created
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→ Review & edit → Organize
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Example Transformation:
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Template: "Extract: main argument, methodology, key findings"
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Apply to: 5 sources
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Result: 5 new notes with consistent structure
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When to use:
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- Same extraction from many sources
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- Building structured knowledge base
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- Creating consistent summaries
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```
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---
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## Using Transformations for Batch Insights
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### Built-in Transformations
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Open Notebook comes with presets:
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**Summary**
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```
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Extracts: Main points, key arguments, conclusions
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Output: 200-300 word summary of source
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Best for: Quick reference summaries
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```
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**Key Concepts**
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```
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Extracts: Main ideas, concepts, terminology
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Output: List of concepts with explanations
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Best for: Learning and terminology
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```
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**Methodology**
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```
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Extracts: Research approach, methods, data
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Output: How the research was conducted
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Best for: Academic sources, methodology review
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```
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**Takeaways**
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```
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Extracts: Actionable insights, recommendations
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Output: What you should do with this information
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Best for: Practical/business sources
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```
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### How to Apply Transformation
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```
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1. Go to "Transformations"
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2. Select a template
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3. Click "Apply"
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4. Select which sources (one or many)
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5. Wait for processing (usually 30 seconds - 2 minutes)
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6. New notes appear in your notebook
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7. Edit if needed
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```
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### Create Custom Transformation
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```
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1. Click "Create Custom Transformation"
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2. Write your extraction template:
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Example:
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"For this academic paper, extract:
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- Central research question
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- Hypothesis tested
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- Methodology used
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- Key findings (numbered)
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- Limitations acknowledged
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- Recommendations for future work"
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3. Click "Save Template"
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4. Apply to one or many sources
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5. System generates notes with consistent structure
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```
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---
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## Organizing Notes
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### Naming Conventions
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**Option 1: Date-based**
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```
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2026-01-03 - Key points from X source
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2026-01-04 - Comparison between A and B
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Benefit: Easy to see what you did when
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```
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**Option 2: Topic-based**
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```
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AI Safety - Alignment approaches
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AI Safety - Interpretability research
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Benefit: Groups by subject matter
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```
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**Option 3: Type-based**
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```
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SUMMARY: Paper on X
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QUESTION: What about Y?
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INSIGHT: Connection between Z and W
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Benefit: Easy to filter by type
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```
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**Option 4: Source-based**
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```
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From: Paper A - Main insights
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From: Video B - Interesting implications
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Benefit: Easy to trace back to sources
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```
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**Best practice:** Combine approaches
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```
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[Date] [Source] - [Topic] - [Type]
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2026-01-03 - Paper A - AI Safety - Takeaways
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```
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### Using Tags
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Tags are labels for categorization. Add them when creating notes:
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```
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Example tags:
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- "primary-research" (direct source analysis)
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- "background" (supporting material)
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- "methodology" (about research methods)
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- "insights" (your original thinking)
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- "questions" (open questions raised)
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- "follow-up" (needs more work)
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- "published" (ready to share/use)
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```
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**Benefits of tags:**
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- Filter notes by tag
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- Find all notes of a type
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- Organize workflow (e.g., find all "follow-up" notes)
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### Note Linking & References
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You can reference sources within notes:
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```markdown
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# Analysis of Paper A
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As shown in Paper A (see "main argument" section),
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the authors argue that...
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## Related Sources
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- Paper B discusses similar approach
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- Video C shows practical application
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- My note on "Comparative analysis" has more
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```
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---
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## Editing and Refining Notes
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### Improving AI-Generated Notes
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```
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AI Note:
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"The paper discusses machine learning"
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What you might change:
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"The paper proposes a supervised learning approach
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to classification problems, using neural networks
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with attention mechanisms (see pp. 15-18)."
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How to edit:
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1. Click note
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2. Click "Edit"
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3. Refine the content
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4. Click "Save"
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```
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### Adding Citations
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```
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When saving from Chat/Ask:
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- Citations auto-added
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- Shows which sources informed answer
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- You can verify by clicking
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When manual notes:
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- Add manually: "From Paper A, page 15: ..."
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- Or reference: "As discussed in [source]"
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```
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---
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## Searching Your Notes
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Notes are fully searchable:
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### Text Search
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```
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Find exact phrase: "attention mechanism"
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Results: All notes containing that phrase
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Use when: Looking for specific terms or quotes
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```
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### Vector/Semantic Search
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```
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Find concept: "How do models understand?"
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Results: Notes about interpretability, mechanistic understanding, etc.
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Use when: Exploring conceptually (words not exact)
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```
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### Combined Search
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```
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Text search notes → Find keyword matches
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Vector search notes → Find conceptual matches
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Both work across sources + notes together
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```
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---
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## Exporting and Sharing Notes
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### Options
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**Copy to clipboard**
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```
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Click "Share" → "Copy" → Paste anywhere
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Good for: Sharing one note via email/chat
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```
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**Export as Markdown**
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```
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Click "Share" → "Export as MD" → Saves as .md file
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Good for: Sharing with others, version control
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```
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**Create note collection**
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```
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Select multiple notes → "Export collection"
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→ Creates organized markdown document
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Good for: Sharing a topic overview
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```
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**Publish to web**
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```
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Click "Publish" → Get shareable link
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Good for: Publishing publicly (if desired)
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```
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---
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## Organizing Your Notebook's Notes
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### By Research Phase
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**Phase 1: Discovery**
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- Initial summaries
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- Questions raised
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- Interesting findings
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**Phase 2: Deep Dive**
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- Detailed analysis
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- Comparative insights
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- Methodology reviews
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**Phase 3: Synthesis**
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- Connections across sources
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- Original thinking
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- Conclusions
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### By Content Type
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**Summaries**
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- High-level overviews
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- Generated by transformations
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- Quick reference
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**Questions**
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- Open questions
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- Things to research more
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- Gaps to fill
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**Insights**
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- Your original analysis
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- Connections made
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- Conclusions reached
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**Tasks**
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- Follow-up research
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- Sources to add
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- People to contact
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---
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## Using Notes in Other Features
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### In Chat
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```
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You can reference notes:
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"Based on my note 'Key findings from A',
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how does this compare to B?"
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Notes become part of context.
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Treated like sources but smaller/more focused.
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```
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### In Transformations
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```
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Notes can be transformed:
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1. Select notes as input
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2. Apply transformation
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3. Get new derived notes
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Example: Transform 5 analysis notes → Create synthesis
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```
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### In Podcasts
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```
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Notes are used to create podcast content:
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1. Generate podcast for notebook
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2. System includes notes in content selection
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3. Notes become part of episode outline
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```
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---
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## Best Practices
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### For Manual Notes
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1. **Write clearly** — Future you will appreciate it
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2. **Add context** — Why this matters, not just what it says
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3. **Link to sources** — You can verify later
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4. **Date them** — Track your thinking over time
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5. **Tag immediately** — Don't defer organization
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### For AI-Generated Notes
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1. **Review before saving** — Verify quality
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2. **Edit for clarity** — AI might miss nuance
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3. **Add your thoughts** — Make it your own
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4. **Include citations** — Understand sources
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5. **Organize right away** — While context is fresh
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### For Organization
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1. **Consistent naming** — Your future self will thank you
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2. **Tag everything** — Makes filtering later much easier
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3. **Link related notes** — Create knowledge network
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4. **Review periodically** — Refactor as understanding evolves
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5. **Archive old notes** — Keep working space clean
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---
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## Common Mistakes
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| Mistake | Problem | Solution |
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| Save every Chat response | Notebook becomes cluttered with low-quality notes | Only save good responses that answer your questions |
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| Don't add tags | Can't find notes later | Tag immediately when creating |
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| Poor note titles | Can't remember what's in them | Use descriptive titles, include key concept |
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| Never link notes together | Miss connections between ideas | Add references to related notes |
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| Forget the source | Can't verify claims later | Always link back to source |
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| Never edit AI notes | Keep generic AI responses | Refine for clarity and context |
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| Create one giant note | Too long to be useful | Split into focused notes by subtopic |
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---
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## Summary: Note Lifecycle
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```
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1. CREATE
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├─ Manual: Write from scratch
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├─ From Chat: Save good response
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├─ From Ask: Save synthesis
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└─ From Transform: Batch process
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2. EDIT & REFINE
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├─ Improve clarity
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├─ Add context
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├─ Fix AI mistakes
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└─ Add citations
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3. ORGANIZE
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├─ Name clearly
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├─ Add tags
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├─ Link related
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└─ Categorize
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4. USE
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├─ Reference in Chat
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├─ Transform for synthesis
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├─ Export for sharing
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└─ Build on with new questions
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5. MAINTAIN
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├─ Periodically review
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├─ Update as understanding grows
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├─ Archive when done
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└─ Learn from organized knowledge
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```
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Your notes become your actual knowledge base. The more you invest in organizing them, the more valuable they become.
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