Aydın Tiryaki (2026)

1. Introduction: From AI to “Smart Production Assistant”

While NotebookLM has revolutionized document analysis, it has yet to reach the depth required to put the user in the “Director’s Chair” for content production (video and audio). Current systems excel at summarizing but often fail to provide the user with sufficient agency and contextual accuracy when transforming information into a visual and auditory narrative. This article presents a multimodal ecosystem proposal to guide the future evolution of NotebookLM.

2. Visual Context and Spatial Accuracy: “Authentic Generation”

AI-driven video editing must be anchored in the “real world” rather than relying on generic, hallucinated imagery.

• Reference-Based Generation: For example, when describing a specific landmark like the İnebolu Turkish Hearth building, the system should not generate a generic structure. It should utilize the user’s provided photographs or verified open-source imagery.
• User Archive Integration: Users should be able to upload their private archives (e.g., a 2014 photo of a Black Stork or a historical copper pot) and instruct the system to “Use this specific visual in the edit.”
• Consent and Approval Mechanism: A system of “approval checkboxes” should grant explicit permission for the use of these visuals, establishing a legally and ethically sound production framework.

3. Engineering Efficiency: Resource Optimization

The collaboration between the user and AI should be built on a model that preserves system resources.

• Reducing Entropy: The “computational hallucination” load of AI can be significantly reduced through user-provided reference visuals. By processing an existing image rather than dreaming one up from scratch, the system can utilize GPU/CPU power more efficiently.
• Mutual Cooperation: The system should be able to request specific “context” from the user for gaps in the edit (e.g., “Do you have a photo of the harbor for this scene?”), thereby preventing wasted rendering costs.

4. Directorial Agency: Interactive Storyboard and Time Management

Users must have the opportunity to intervene during the editing phase, before the final render.

• Interactive Storyboard with Checkboxes: Before rendering, the system should present an interactive flow. Users can use checkboxes to prune unwanted segments or swap visuals.
• Time-Content Negotiation (Constraint Management): If a user requests a 3-minute video for a 5-minute script, the system should issue a warning. The user then decides whether to trim the content or extend the duration. This interaction prevents unnecessary processing.
• Device Ergonomics and Format Flexibility: Beyond platform-specific requirements (like Shorts), the system must offer Horizontal (16:9), Vertical (9:16), and Square (1:1) options for all video lengths to ensure viewer comfort across different devices.

5. YouTube Integration: The 3-Minute Shorts Strategy

YouTube’s expansion of Shorts to 3 minutes provides a new strategic frontier for NotebookLM.

• Micro-Documentary Format: The system should facilitate 3-minute vertical edits, intelligently placing subtitles to avoid being obscured by interface elements like like/comment buttons (Safe Zone).
• Brevity with Depth: For technical subjects where 60 seconds is insufficient, this new 3-minute format allows for high-quality, viral dissemination of nuanced information.

6. Educational Revolution: Adaptive Oral Examinations

NotebookLM can serve as both a guardian of academic integrity and a powerful catalyst for learning.

• Instructor Module: Educators should be able to upload student-submitted PDFs to initiate a customized “Oral Defense” session.
• Adaptive Testing: The oral exam should dynamically adjust its difficulty based on student performance—becoming more technical with correct answers and simplifying to focus on teaching fundamentals when errors occur.
• Authorship Verification: By reporting how well a student can explain complex inferences within their own document, the system verifies whether the work was truly “authored” or merely “prompted.”
• Iterative Learning: Even if a student uses AI to help prepare an assignment, they will be forced to “iterate” through the document multiple times to pass these rigorous oral exams, ensuring genuine comprehension.

7. Multimodal Reporting: From Static Outputs to Dynamic Content

Existing text-based outputs such as FAQs, Timelines, and Study Guides should be transformed into media assets.

• Video/Audio Transformation: With a single click, a “Timeline” should become a chronological mini-documentary, and an “FAQ” should become a dynamic interview video. Knowledge should be consumable through watching and listening, not just reading.

8. Credible Dialectics: Moving Beyond “Synthetic Politeness”

The “Audio Overview” format’s current “artificiality” and overly agreeable tone require critical attention.

• Intellectual Friction: Characters should not constantly praise each other. They should be able to identify and debate contradictions within the documents, possessing distinct “Intellectual Personas” that do not easily yield to opposing arguments.
• Utility Analysis: Google should analyze user engagement metrics to determine the effectiveness of the “Debate” format. Features that feel overly “fake” should either be fundamentally redesigned or kept as secondary options based on user preference.

9. Phonetic Anchoring and Multimodal Input

Professional systems require precision in local nuances and ease of use.

• User-Defined Phonetic Glossary: Inconsistency in the pronunciation of proper names (e.g., Aydın Tiryaki) or local place names (e.g., İnebolu) is unacceptable for professional content. Users must be able to “anchor” the correct pronunciation in a Phonetic Memory layer.
• Multimodal Input (Voice-to-Action): Users should not be confined to a keyboard. Complex editing instructions or content corrections should be deliverable via voice, allowing for a more natural “Director-Assistant” interaction.

10. Conclusion: A Gift to the Academic and Digital World

When these proposals are implemented, NotebookLM will evolve from a mere analysis tool into a living ecosystem that operates with the precision of an engineer, the wisdom of a scholar, and the vision of a content creator. This system will not just summarize information; it will present it to the world in the most accurate, aesthetic, and honest manner—a true gift to the global academic community.

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1. Introduction: From AI to “Smart Production Assistant”

While NotebookLM has revolutionized document analysis, it has yet to reach the depth required to put the user in the “Director’s Chair” for content production (video and audio). Current systems excel at summarizing but often fail to provide the user with sufficient agency and contextual accuracy when transforming information into a visual and auditory narrative. This article presents a multimodal ecosystem proposal to guide the future evolution of NotebookLM.

2. Visual Context and Spatial Accuracy: “Authentic Generation”

AI-driven video editing must be anchored in the “real world” rather than relying on generic, hallucinated imagery.

• Reference-Based Generation: For example, when describing a specific landmark like the İnebolu Turkish Hearth building, the system should not generate a generic structure. It should utilize the user’s provided photographs or verified open-source imagery.
• User Archive Integration: Users should be able to upload their private archives (e.g., a 2014 photo of a Black Stork or a historical copper pot) and instruct the system to “Use this specific visual in the edit.”
• Consent and Approval Mechanism: A system of “approval checkboxes” should grant explicit permission for the use of these visuals, establishing a legally and ethically sound production framework.

3. Engineering Efficiency: Resource Optimization

The collaboration between the user and AI should be built on a model that preserves system resources.

• Reducing Entropy: The “computational hallucination” load of AI can be significantly reduced through user-provided reference visuals. By processing an existing image rather than dreaming one up from scratch, the system can utilize GPU/CPU power more efficiently.
• Mutual Cooperation: The system should be able to request specific “context” from the user for gaps in the edit (e.g., “Do you have a photo of the harbor for this scene?”), thereby preventing wasted rendering costs.

4. Directorial Agency: Interactive Storyboard and Time Management

Users must have the opportunity to intervene during the editing phase, before the final render.

• Interactive Storyboard with Checkboxes: Before rendering, the system should present an interactive flow. Users can use checkboxes to prune unwanted segments or swap visuals.
• Time-Content Negotiation (Constraint Management): If a user requests a 3-minute video for a 5-minute script, the system should issue a warning. The user then decides whether to trim the content or extend the duration. This interaction prevents unnecessary processing.
• Device Ergonomics and Format Flexibility: Beyond platform-specific requirements (like Shorts), the system must offer Horizontal (16:9), Vertical (9:16), and Square (1:1) options for all video lengths to ensure viewer comfort across different devices.

5. YouTube Integration: The 3-Minute Shorts Strategy

YouTube’s expansion of Shorts to 3 minutes provides a new strategic frontier for NotebookLM.

• Micro-Documentary Format: The system should facilitate 3-minute vertical edits, intelligently placing subtitles to avoid being obscured by interface elements like like/comment buttons (Safe Zone).
• Brevity with Depth: For technical subjects where 60 seconds is insufficient, this new 3-minute format allows for high-quality, viral dissemination of nuanced information.

6. Educational Revolution: Adaptive Oral Examinations

NotebookLM can serve as both a guardian of academic integrity and a powerful catalyst for learning.

• Instructor Module: Educators should be able to upload student-submitted PDFs to initiate a customized “Oral Defense” session.
• Adaptive Testing: The oral exam should dynamically adjust its difficulty based on student performance—becoming more technical with correct answers and simplifying to focus on teaching fundamentals when errors occur.
• Authorship Verification: By reporting how well a student can explain complex inferences within their own document, the system verifies whether the work was truly “authored” or merely “prompted.”
• Iterative Learning: Even if a student uses AI to help prepare an assignment, they will be forced to “iterate” through the document multiple times to pass these rigorous oral exams, ensuring genuine comprehension.

7. Multimodal Reporting: From Static Outputs to Dynamic Content

Existing text-based outputs such as FAQs, Timelines, and Study Guides should be transformed into media assets.

• Video/Audio Transformation: With a single click, a “Timeline” should become a chronological mini-documentary, and an “FAQ” should become a dynamic interview video. Knowledge should be consumable through watching and listening, not just reading.

8. Credible Dialectics: Moving Beyond “Synthetic Politeness”

The “Audio Overview” format’s current “artificiality” and overly agreeable tone require critical attention.

• Intellectual Friction: Characters should not constantly praise each other. They should be able to identify and debate contradictions within the documents, possessing distinct “Intellectual Personas” that do not easily yield to opposing arguments.
• Utility Analysis: Google should analyze user engagement metrics to determine the effectiveness of the “Debate” format. Features that feel overly “fake” should either be fundamentally redesigned or kept as secondary options based on user preference.

9. Phonetic Anchoring and Multimodal Input

Professional systems require precision in local nuances and ease of use.

• User-Defined Phonetic Glossary: Inconsistency in the pronunciation of proper names (e.g., Aydın Tiryaki) or local place names (e.g., İnebolu) is unacceptable for professional content. Users must be able to “anchor” the correct pronunciation in a Phonetic Memory layer.
• Multimodal Input (Voice-to-Action): Users should not be confined to a keyboard. Complex editing instructions or content corrections should be deliverable via voice, allowing for a more natural “Director-Assistant” interaction.

10. Conclusion: A Gift to the Academic and Digital World

When these proposals are implemented, NotebookLM will evolve from a mere analysis tool into a living ecosystem that operates with the precision of an engineer, the wisdom of a scholar, and the vision of a content creator. This system will not just summarize information; it will present it to the world in the most accurate, aesthetic, and honest manner—a true gift to the global academic community.