NotebookLM Prompts

Ready-to-use prompts for Google NotebookLM to synthesize your source documents.

Prerequisites

Before running these prompts:

1. Go to notebooklm.google.com
2. Create a new notebook
3. Upload all source documents
4. Wait for processing to complete

Master Synthesis Prompt

Copy and paste this comprehensive prompt into NotebookLM:

Analyze all uploaded documents comprehensively and create a
structured research synthesis.

Return your analysis in MARKDOWN format with the following sections:

# DOCUMENT SYNTHESIS REPORT

## 1. EXECUTIVE SUMMARY
Provide a 300-word summary combining insights from all documents.

## 2. DOCUMENT OVERVIEW TABLE
| Document | Type | Main Topic | Key Contribution | Pages |
|----------|------|------------|------------------|-------|

## 3. THEMATIC ANALYSIS
For each major theme across documents:
- Theme name
- How each document addresses it
- Points of agreement/disagreement
- Gaps in coverage

## 4. KEY CONCEPTS CATALOG
| Concept | Definition | Source Document | Page |
|---------|------------|-----------------|------|

## 5. METHODOLOGY COMPARISON
If applicable, compare methodologies used across documents.

## 6. DATA AND STATISTICS
Extract all quantitative data:
| Statistic | Value | Source | Context |
|-----------|-------|--------|---------|

## 7. KEY QUOTES
10-15 important quotes with:
- Quote text
- Source document
- Page number
- Relevance

## 8. FIGURES AND TABLES INVENTORY
| Element | Document | Page | Description | Reusable? |
|---------|----------|------|-------------|-----------|

## 9. TERMINOLOGY GLOSSARY
| Term | Definition | Source |
|------|------------|--------|

## 10. RESEARCH GAPS
Topics mentioned but not fully developed:
- Gap description
- Which documents reference it
- Suggested further research

## 11. RECOMMENDATIONS
Based on all documents, what are the main recommendations?

## 12. BIBLIOGRAPHY ENTRIES
For any external sources mentioned in documents, provide BibTeX entries.

Be thorough and cite specific documents and page numbers.

Technical Documentation Prompt

For technical/implementation-focused sources:

Analyze the technical content across all documents:

## ARCHITECTURE ANALYSIS
- System components mentioned
- Technology stack details
- Integration points
- Deployment considerations

## IMPLEMENTATION DETAILS
- Code examples and snippets (with document and page)
- Configuration requirements
- Dependencies mentioned
- Performance considerations

## COMPARISON TABLE
| Feature | Doc 1 | Doc 2 | Doc 3 |
|---------|-------|-------|-------|

## BEST PRACTICES
Compile best practices mentioned across documents.

## COMMON PITFALLS
What mistakes or issues are warned against?

## TECHNICAL REQUIREMENTS
| Requirement | Document | Page | Details |
|-------------|----------|------|---------|

Cite specific documents and pages for all claims.

Academic Research Prompt

For academic/research-focused sources:

Analyze the academic/research content:

## LITERATURE REVIEW
- Main research themes
- Methodology approaches
- Key findings
- Limitations acknowledged

## CITATION ANALYSIS
- Most cited works across documents
- Common theoretical frameworks
- Research gaps identified

## RESEARCH METHODS
| Document | Method | Sample Size | Key Findings |
|----------|--------|-------------|--------------|

## FUTURE WORK
What future research directions are suggested?

## CONTRIBUTION SUMMARY
| Document | Main Contribution | Field/Area |
|----------|-------------------|------------|

Provide page numbers for all claims.

Targeted Extraction Prompts

Extract Specific Topic

From all documents, extract information about [SPECIFIC TOPIC]:

1. All mentions of [topic]
2. Context for each mention
3. Related concepts
4. Source document and page number

Format as a table:
| Document | Page | Context | Key Point |
|----------|------|---------|-----------|

Compare Approaches

Compare how each document addresses [TOPIC]:

| Aspect | Document 1 | Document 2 | Document 3 |
|--------|------------|------------|------------|
| Definition | | | |
| Approach | | | |
| Strengths | | | |
| Limitations | | | |

Include:
- Similarities
- Differences
- Unique contributions
- Contradictions (if any)

Security/Threat Analysis

Analyze security-related content across all documents:

## THREAT CATALOG
| Threat | Category | Document | Page | Severity |
|--------|----------|----------|------|----------|

## ATTACK VECTORS
For each attack type mentioned:
- Attack name
- Description
- Source document and page
- Mitigation (if mentioned)

## DEFENSE MECHANISMS
| Defense | Document | Page | Effectiveness |
|---------|----------|------|---------------|

## RISK ASSESSMENT
Compile any risk assessments or impact analyses.

## RECOMMENDATIONS
Security recommendations from all documents.

Implementation Extraction

Extract implementation details for [SYSTEM/FEATURE]:

## ARCHITECTURE
- Components mentioned
- Connections/interfaces
- Technologies used

## CODE SAMPLES
| Document | Page | Language | Purpose |
|----------|------|----------|---------|
[List all code examples]

## CONFIGURATION
| Parameter | Document | Page | Value/Description |
|-----------|----------|------|-------------------|

## DEPLOYMENT
- Infrastructure requirements
- Deployment steps
- Dependencies

Cite all sources with page numbers.

Processing NotebookLM Output

Save Results

cat > research-prompts/results/notebooklm.md << 'EOF'
# NotebookLM Synthesis Results
Date: [Date]
Sources: [List uploaded documents]

[Paste NotebookLM output here]
EOF

Create Chapter Mapping

From the synthesis, create source-to-chapter mapping:

# Source-to-Chapter Mapping

## Chapter 2: [Title]
- Document A, pages 10-15: [topic]
- Document B, pages 5-8: [topic]

## Chapter 3: [Title]
- Document A, pages 20-25: [topic]
- Document C, pages 1-10: [topic]

Extract Reusable Content

Note items to recreate in LaTeX:

• Figure descriptions (for TikZ recreation)
• Table data (for LaTeX tables)
• Statistics (for inline citations)

Identify Gaps

Flag topics needing external research:

# Research Gaps for External Tools

## Perplexity (Current Data)
- [ ] 2024 market statistics
- [ ] Recent incident data

## Scopus AI (Academic Papers)
- [ ] Recent survey papers on [topic]
- [ ] Defense mechanism research

Tips for Better Results

1. Document Organization

Upload related documents together:

Good:
├── All thesis PDFs in one notebook
└── All reports in another

Bad:
├── Unrelated documents mixed
└── Too many documents (>10)

2. Iterative Querying

Start broad, then narrow:

Query 1: "Summarize all documents"
Query 2: "Focus on security aspects"
Query 3: "Extract specific data about attacks"

3. Follow-up Questions

Ask clarifying questions:

"Which document has the most detail on [topic]?"
"Are there contradictions between Document A and B?"
"What's missing from all documents regarding [topic]?"

Next Steps

• Perplexity Prompts - Current statistics
• Scopus AI Prompts - Academic papers
• External AI Services - Full process