# Gemini Notebook (formerly Google NotebookLM) Studio Prompt Examples **Target tool:** Gemini Notebook Studio — `focus_prompt`, `custom_prompt`, or `description` fields. Pair with [studio-prompting-guide.md](studio-prompting-guide.md) for mode selection and decision trees. **Usage:** Replace `` and `[placeholders]`. All generation requires `confirm=True` (MCP) or `--confirm` (CLI). **Which section to use:** - **Fast track (default):** Use [Minimal prompts](#fast-track-minimal-prompts) — 1–3 sentences - **Guided / high-stakes / cinematic:** Use [Guided templates](#guided-templates-full-prompts) — full prompts below **Difficulty note:** Quiz CLI uses `--difficulty 1-5` (3=medium). MCP uses `difficulty="easy"|"medium"|"hard"`. --- ## Fast Track Minimal Prompts Use these for typical requests. Always include the grounding anchor. ### Audio ``` Deep-dive podcast for a general audience. Focus on [main themes from notebook]. Conversational tone, ~10 minutes. Use only uploaded sources. ``` ```python studio_create(notebook_id="", artifact_type="audio", audio_format="deep_dive", audio_length="default", focus_prompt="...", confirm=True) ``` For a regional Spanish accent, set the locale explicitly: ```python studio_create(notebook_id="", artifact_type="audio", audio_format="deep_dive", language="es-419", focus_prompt="...", confirm=True) ``` Gemini Notebook has been observed producing Spain Spanish for `es`/`es-ES` and Latin-American Spanish for `es-US`/`es-419`. Prompt wording does not reliably change the accent. ### Video (explainer/brief) ``` Explainer for [audience]. Cover [2-3 key topics from sources]. Clear and concise. Use only uploaded sources. ``` ### Video (short) ``` 60-second overview of [core concept from sources]. Quickly grasp the key idea. Use only uploaded sources. ``` ### Slide deck ``` Presentation for [audience/meeting type]. Structure: [problem → findings → recommendation]. Use only uploaded sources. ``` ### Infographic ``` Infographic highlighting [3 key points from sources]. Clean layout. Use only uploaded sources. ``` ### Report (preset — no custom prompt) ```bash nlm report create --format "Briefing Doc" --confirm nlm report create --format "Study Guide" --confirm nlm report create --format "Blog Post" --confirm ``` ### Quiz ``` Multiple-choice quiz on [TOPIC]. Mix definition and scenario questions. Emphasize [topics from sources]. Use only uploaded sources. ``` ```python studio_create(notebook_id="", artifact_type="quiz", difficulty="medium", focus_prompt="...", confirm=True) ``` ### Flashcards ``` Flashcards on [TOPIC]. Mix definitions and application scenarios. Use only uploaded sources. ``` ### Data table ``` Extract [entity type] from sources. Columns: [Col1], [Col2], [Col3]. One row per [entity]. N/A if not in sources. ``` ### Fast track inference table | User says | Inferred call | Minimal focus source | |-----------|---------------|----------------------| | "Make a podcast" | audio, deep_dive, default | notebook title → `notebook_describe` | | "Quick audio summary" | audio, brief, short | main themes | | "Slides for my meeting" | slide_deck, presenter_slides, short | meeting purpose | | "Shareable slide doc" | slide_deck, detailed_deck, default | notebook themes | | "LinkedIn infographic" | infographic, square, concise, bento_grid | top 3 takeaways | | "Explainer video" | video, explainer, auto_select | key topics | | "Study guide" | report, Study Guide preset | (none needed) | | "Quiz me" | quiz, medium | notebook themes | | "Flashcards" | flashcards, medium | key terms | | "Compare competitors" | data_table | explicit columns in description | --- ## Guided Templates (Full Prompts) Use for high-stakes deliverables, vague requests, or when user asks to see the prompt. **Cinematic is always guided.** --- ## Audio ### Exam revision (deep_dive, default) ``` Audience: Undergraduate revising for midterm on [TOPIC]. Focus on three commonly confused ideas: [A], [B], [C]. Skip Chapter 1 background. Structure: intro → one section per idea with example → 2-min exam recap. Tone: friendly tutors. Use only uploaded sources. ~12 minutes. ``` ### Executive brief (brief, short) ``` Single-narrator recap for a team lead before a stakeholder meeting. Summarize decisions, risks, and open questions only. Skip implementation details. Under 5 minutes. Use only uploaded sources. ``` ### Thesis critique (critique, default) ``` Two expert reviewers of my draft. Identify weakest argument, unsupported claims, and source disagreements with my thesis. End with top 3 revisions before submission. Tone: constructive. Use only uploaded sources. ``` ### Policy debate (debate, long) ``` Debate [POSITION A] vs [POSITION B] using only uploaded sources. Each host cites passages. Include common ground and where sources are insufficient. ~18-20 minutes. ``` ### ELI12 explainer (deep_dive, default) ``` Explain core concepts as if teaching a smart 12-year-old. Use analogies for every complex term. Focus on why this matters, not just definitions. Use only uploaded sources. ``` --- ## Video ### Executive briefing (brief, whiteboard) ``` Explain for non-technical executives in under 3 minutes. Focus: business impact, top 3 risks, measurable upside. Skip jargon. Use only uploaded sources. ``` ```bash nlm video create --format brief --style whiteboard --focus "..." --confirm ``` ### Cross-source explainer (explainer, custom style) **Style prompt:** `Clean editorial layout, black typography, yellow accents, minimal animation.` **Focus:** `Connect sources: Problem → Evidence → Implications → Actions. Audience knows [DOMAIN X]. Use only uploaded sources.` ```python studio_create(notebook_id="", artifact_type="video", video_format="explainer", visual_style="custom", video_style_prompt="Clean editorial...", focus_prompt="Connect sources: Problem → ...", confirm=True) ``` ### Student chapter (explainer, anime) ``` I know nothing about this topic. Focus Chapter [N] only. Help me read diagrams and key definitions. One example per concept. Use only uploaded sources. ``` ### Product launch cinematic (always guided) ``` I'm the PM who wrote this PRD. Presenting to engineering at sprint planning. Deliver as a 1980s game show "Ship It Live." Beats: problem reveal → feature graphics → KPI scoreboard → rollout finale. Tone: enthusiastic. ~2 minutes. Visual style: neon set, chunky typography, studio spotlights, orchestral stings. Use only uploaded sources. ``` ```bash nlm video create --format cinematic --focus "..." --confirm ``` ### LinkedIn teaser (cinematic, always guided) ``` 2-minute teaser for general professionals. Top 3 surprising findings and why each matters. Prestige documentary tone. Dark background, slow push-ins on stats, calm narration. Use only uploaded sources. ``` --- ## Slide Deck ### Board briefing (detailed_deck, default) ``` Board-ready deck for C-suite. Structure: situation → 3 findings → financial impact → actions → risks. Professional tone. Navy background, white text, blue KPI accents. Use only uploaded sources. Skip implementation. ``` ```python studio_create(notebook_id="", artifact_type="slide_deck", slide_format="detailed_deck", slide_length="default", focus_prompt="...", confirm=True) ``` ### Live sales pitch (presenter_slides, short) ``` 20-minute prospect meeting. One idea per slide. Headlines under 8 words. Structure: pain → solution → proof → pricing → CTA. Icon-led, high contrast. Use only uploaded sources. ``` ### Teaching deck (detailed_deck, default) ``` Teaching deck for visual learners. Hook with surprising stat → 3 core concepts (diagram each) → case → summary. White background, infographic-style charts. Source-grounded metaphors. Use only uploaded sources. ``` ### Revise after generation (on user request or failure only) ```python studio_revise(notebook_id="", artifact_id="", confirm=True, slide_instructions=[ {"slide": 4, "instruction": "Update revenue chart from Table 2; add source footnote."}, {"slide": 7, "instruction": "Max 3 bullets; enlarge headline."} ]) ``` ```bash nlm slides revise --slide '4 Update chart from Table 2' --confirm ``` --- ## Infographic ### Executive metrics (landscape, standard, professional) ``` Act as data designer for C-level execs. Z-pattern: headline metric → 3 KPI blocks → trend → conclusion. Numbers from sources only. 35% white space. Terms: ARR, churn, NRR exactly as written. ``` ```bash nlm infographic create --orientation landscape --detail standard --style professional --focus "..." --confirm ``` ### Product comparison (landscape, standard, bento_grid) ``` Side-by-side comparison, two columns. Icons per feature row. Highlight pricing and top 3 differentiators from sources only. ``` ### LinkedIn carousel (square, concise, bento_grid) ``` Poster-style: large headline, max 5 points. One core message. Square for LinkedIn. Use only uploaded sources. ``` ### HR policy poster (portrait, standard, kawaii) ``` Educational poster: title + 5 rules with icons. Friendly, non-intimidating. One rule per block. Use only uploaded sources. ``` ### Process explainer (landscape, standard, sketch_note) ``` Numbered step diagram with short labels. Horizontal timeline. Hand-drawn educational feel. Use only uploaded sources. ``` --- ## Report ### Literature review (Create Your Own) ``` Draft literature review on [TOPIC] for [AUDIENCE], ~1500 words. Structure: Intro → 3-5 thematic sections (by idea, not author) → Gaps → Conclusion. Every claim cited (Author Year). Flag contradictions. Use only uploaded sources. ``` ```python studio_create(notebook_id="", artifact_type="report", report_format="Create Your Own", custom_prompt="...", confirm=True) ``` ### Contradiction map (Create Your Own) ``` Find every meaningful disagreement across sources. For each: claim, sources per side, evidence strength, which to trust for [TOPIC]. Sort by importance. Use only uploaded sources. ``` ### Executive decision brief (Create Your Own) ``` Competitive comparison: options, tradeoffs, recommendation, risks. Summary table of key metrics. Mark inferred items as "Inferred." Source-grounded numbers only. ``` ### Blog post angle (Create Your Own) ``` Write an accessible blog post for [AUDIENCE] about [TOPIC]. Structure: hook → 3-4 sections with takeaways → actionable close. Conversational but accurate. Use only uploaded sources. ``` --- ## Quiz Studio quiz generates **multiple choice only**. For short-answer or derivations, use chat or Create Your Own reports. ### Professor-style MC mix ``` Generate multiple-choice questions matching exam style for [COURSE]. Mix: (1) numeric/calculation MC with plausible distractors, (2) comparison "best answer" scenarios, (3) application scenarios requiring combined concepts. Emphasize [TOPICS]. De-emphasize [TOPICS]. Weight lecture material over textbook-only content. Use only uploaded sources. ``` ```bash nlm quiz create --count 10 --difficulty 3 --focus "..." --confirm ``` ```python studio_create(notebook_id="", artifact_type="quiz", question_count=10, difficulty="medium", focus_prompt="...", confirm=True) ``` ### Integration testing (MC) ``` MC questions requiring combined concepts from [TOPIC] — not isolated definitions. Each question tests how [A], [B], and [C] work together. Use only uploaded sources. ``` ### Live audience poll (MC) ``` MC questions for live poll. Top 5 takeaways from speaker decks. Accessible language, one clearly best answer each. Use only uploaded sources. ``` --- ## Flashcards ### Mixed exam deck (medium) ``` Mix 4 types: (1) Definition + example, (2) Cause-effect, (3) Comparison A vs B, (4) Application scenario. Focus on repeated terms and summary sections. Use only uploaded sources. ``` ### Scenario decisions (hard) ``` Scenario-based cards testing decision-making, not definitions. Real situations — choose the right approach. Use only uploaded sources. ``` ### Confused terminology (medium) ``` Cards for terms I confuse: [TERM A vs B vs C]. Front: explain difference in one sentence each. Use only uploaded sources. ``` ### Beginner vocabulary (easy) ``` Definition-focused cards for key terms in [TOPIC]. Include one example per term. Skip advanced edge cases. Use only uploaded sources. ``` ### Certification cram (hard) ``` Focus on hardest exam rules, thresholds, and exception cases from prep materials. Prioritize application over pure definitions. Use only uploaded sources. ``` --- ## Data Table ### Competitor matrix ``` Competitor comparison from sources. Columns: Model, Provider, Price (in/out), Context Window, Key Strength, Best For, Source URL. One row per model. N/A if not in sources. ``` ```bash nlm data-table create "Competitor comparison. Columns: Model, Provider, Price..." --confirm ``` ### Historical events ``` Historical events from readings. Columns: Event Name, Country, Date, Key Figures, Economic Consequences. One row per event. Chronological order. N/A if not in sources. ``` ### Research paper matrix ``` Literature comparison. Columns: Author/Year, Method, Sample Size, Key Finding, Limitations, Relevance to [TOPIC]. One row per paper. N/A if not in sources. ``` ### Feature extraction ``` Extract key features from each source. Columns: Feature, Description, Source(s), Limitations Mentioned. One row per feature. N/A if not in sources. ``` ### Glossary table ``` Glossary from sources. Columns: Term, Definition, Example, Source Section, Related Terms. Alphabetical by term. N/A if not in sources. ``` --- ## Interactive Report Element Plans ### Plan 1: Child lesson (Photosynthesis, age 10) **Learner profile:** 10-year-old elementary student; goal: understand how plants make food; language: English; budget: 15 minutes. - `quiz` — Section: "Recipe of Photosynthesis" — 5 simple MC questions on ingredients and outputs — `difficulty=easy`, `question_amount=fewer` - `infographic` — Section: "Inside the Leaf" — Colorful visual diagram of sunlight/water/CO2 in and sugar/O2 out — `orientation=portrait`, `detail_level=concise`, `infographic_style=kawaii` - `audio` — Section: "Sunlight Power" — Cheerful short audio conversation explaining chlorophyll — `audio_format=brief` - skip: `slide_deck` (redundant with the visual infographic for a 10-year-old) - skip: `flashcards` (quiz already checks understanding without overwhelming) This starts 3 generations. #### Prompt pairs **Quiz:** - **Weak:** "A quiz about photosynthesis." - **Sharp:** "5 easy multiple-choice questions for a 10-year-old on the 'recipe' of photosynthesis: sunlight, water and CO₂ in; sugar and oxygen out. Simple words, one clearly correct answer, no trick questions. Use only uploaded sources." **Infographic:** - **Weak:** "Diagram of photosynthesis." - **Sharp:** "A vertical visual diagram for a 10-year-old showing a leaf taking in sunlight, water, and carbon dioxide, and producing glucose and oxygen. Bright colors, clear labels, minimal text, friendly cartoon botanical style. Grounded solely in uploaded sources." **Audio:** - **Weak:** "Audio about sunlight." - **Sharp:** "A 2-3 minute lively conversation for kids explaining how leaves catch sunlight like tiny solar panels. Friendly hosts, simple analogies, everyday words, no technical jargon. Use only uploaded sources." ### Plan 2: Exam prep (Cellular Respiration, Undergraduate Biology) **Learner profile:** Undergraduate biology student; goal: pass midterm exam; language: English; budget: 45 minutes. - `quiz` — Section: "Krebs Cycle & Electron Transport" — 10 rigorous MC questions testing ATP yields and enzyme bottlenecks — `difficulty=hard`, `question_amount=more` - `flashcards` — Section: "Key Enzymes and Substrates" — 20 active recall cards testing intermediates, coenzymes, and regulatory steps — `difficulty=hard`, `card_amount=more` - `mind_map` — Section: "Metabolic Pathways" — Hierarchical branching map from glycolysis through oxidative phosphorylation — (no settings) - skip: `video` (too passive for active exam drill) - skip: `audio` (learner needs rapid active recall, not narrative review) This starts 3 generations. #### Prompt pairs **Quiz:** - **Weak:** "Hard quiz on Krebs cycle." - **Sharp:** "10 challenging multiple-choice questions for an undergraduate biology student focusing on the regulatory enzymes of the citric acid cycle and stoichiometry of ATP, NADH, and FADH2 production. Include scenario-based inhibition questions. Grounded strictly in uploaded lecture notes." **Flashcards:** - **Weak:** "Cellular respiration flashcards." - **Sharp:** "High-yield flashcards covering key metabolic substrates, rate-limiting enzymes (e.g., PFK-1, isocitrate dehydrogenase), and specific electron transport chain inhibitors. Front: reaction or regulator; Back: enzyme, pathway location, and net ATP impact. Grounded solely in uploaded sources." **Mind Map:** - **Weak:** "Mind map of pathways." - **Sharp:** "Detailed structural map connecting glycolysis in cytoplasm to pyruvate oxidation, Krebs cycle in mitochondrial matrix, and the electron transport chain on the inner mitochondrial membrane. Highlight net chemical inputs and outputs at each stage. Use only uploaded sources." ### Plan 3: Executive briefing (Enterprise AI Security Strategy) **Learner profile:** C-suite executive / VP of Security; goal: strategic risk assessment and investment decision; language: English; budget: 20 minutes. - `infographic` — Section: "Threat Landscape & Attack Vectors" — Clean corporate landscape of prompt injection, data exfiltration, and model inversion — `infographic_style=professional`, `detail_level=concise`, `orientation=landscape` - `slide_deck` — Section: "Zero Trust Governance Framework" — 5 executive summary slides with decision milestones and ROI — `slide_format=presenter_slides` - `audio` — Section: "Strategic Tradeoffs" — Executive briefing on defense-in-depth vs engineering velocity — `audio_format=brief` - skip: `quiz` (not appropriate format for executive briefing) - skip: `flashcards` (not aligned with strategic decision making) This starts 3 generations. #### Prompt pairs **Infographic:** - **Weak:** "Infographic on AI threats." - **Sharp:** "A clean landscape executive infographic for CISOs mapping top three LLM enterprise risk areas: prompt injection, indirect data exfiltration, and model drift. Professional corporate palette, clean metric callouts, high visual hierarchy, no decorative clutter. Grounded strictly in provided audit sources." **Slide Deck:** - **Weak:** "Slides on AI security." - **Sharp:** "A concise 5-slide deck for an executive board on enterprise AI governance: Executive Summary, Emerging Vulnerabilities, Defensive Architecture, Compliance Requirements, and 90-Day Implementation Roadmap. High signal-to-noise ratio, bulleted takeaways, presenter layout. Use only uploaded sources." **Audio:** - **Weak:** "Podcast about security tradeoffs." - **Sharp:** "A focused 3-minute executive briefing between two senior analysts debating the speed vs security tradeoff in deploying enterprise LLMs. Professional, analytical tone, clear executive recommendations, zero banter. Based entirely on the uploaded whitepaper."