--- title: "awesome-notebookLM-prompts vs ai-notes" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/serenakeyitan-awesome-notebooklm-prompts-vs-swyxio-ai-notes" tools: ["serenakeyitan-awesome-notebooklm-prompts", "swyxio-ai-notes"] --- # awesome-notebookLM-prompts vs ai-notes *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-notebookLM-prompts if a curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering; pick ai-notes if ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. [awesome-notebookLM-prompts](https://github.com/serenakeyitan/awesome-notebookLM-prompts) reports 4.6k GitHub stars, 677 forks, and 1 open issues, last pushed Jun 19, 2026. [ai-notes](https://latent.space/) has 6.3k stars, 561 forks, and 8 open issues, last pushed Feb 16, 2026. Figures are from public GitHub metadata via [awesome-notebookLM-prompts's repository](https://github.com/serenakeyitan/awesome-notebookLM-prompts) and [ai-notes's repository](https://github.com/swyxio/ai-notes). | | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Tagline | Curated collection of NotebookLM slide prompts for AI presentations | Notes for software engineers on recent AI developments | | Stars | 4,617 | 6,253 | | Forks | 677 | 561 | | Open issues | 1 | 8 | | Language | - | HTML | | Adopt for | A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. | ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. | | Persona | - | - | | Runtime | - | - | | License | Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. | The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. | | Categories | AI Agents, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-notebookLM-prompts](/tools/serenakeyitan-awesome-notebooklm-prompts.md) | [ai-notes](/tools/swyxio-ai-notes.md) | | --- | --- | --- | | Days since push | 92d | 216d | | Open issues (now) | 1 | 8 | | Stars delta | +281 (30d) | +10 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust.md) | [trust report](/tools/swyxio-ai-notes/trust.md) | ## Decision facts: awesome-notebookLM-prompts - **Adopt for:** A curated collection of effective prompts for NotebookLM AI presentations, aimed at users focused on creative prompt engineering. - **License detail:** Freely redistributable under the MIT License, allowing use in various projects as long as copyright and license notices are preserved. ## Decision facts: ai-notes - **Adopt for:** ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. - **License detail:** The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. ## Choose when ### Choose awesome-notebookLM-prompts if… - Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm. - Also covers AI Agents. - When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations ### Choose ai-notes if… - Tags unique to ai-notes: gpt, multimodal, openai, stable-diffusion. - Also covers Data & Retrieval. - You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ## When NOT to use awesome-notebookLM-prompts - For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style - If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ## When NOT to use ai-notes - The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. - You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ## Common questions ### What is the difference between awesome-notebookLM-prompts and ai-notes? awesome-notebookLM-prompts: Curated collection of NotebookLM slide prompts for AI presentations. ai-notes: Notes for software engineers on recent AI developments. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-notebookLM-prompts over ai-notes? Choose awesome-notebookLM-prompts over ai-notes when Tags unique to awesome-notebookLM-prompts: ai-agents, notebooklm; Also covers AI Agents; When you need a variety of pre-curated slide prompts to speed up the creation of innovative AI-driven PowerPoint presentations. ### When should I choose ai-notes over awesome-notebookLM-prompts? Choose ai-notes over awesome-notebookLM-prompts when Tags unique to ai-notes: gpt, multimodal, openai, stable-diffusion; Also covers Data & Retrieval; You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ### When should I avoid awesome-notebookLM-prompts? For users looking for generalized prompt tools not specific to NotebookLM or its creative underground style If you seek a solution that provides comprehensive support and documentation over curated prompt collections alone ### When should I avoid ai-notes? The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ### Is awesome-notebookLM-prompts or ai-notes more popular on GitHub? ai-notes has more GitHub stars (6,253 vs 4,617). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-notebookLM-prompts and ai-notes open source? Yes - both are open-source projects on GitHub (awesome-notebookLM-prompts: MIT, ai-notes: MIT). ### Where can I find alternatives to awesome-notebookLM-prompts or ai-notes? GraphCanon lists graph-backed alternatives at [awesome-notebookLM-prompts alternatives](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives) and [ai-notes alternatives](/tools/swyxio-ai-notes/alternatives) ([awesome-notebookLM-prompts markdown twin](/tools/serenakeyitan-awesome-notebooklm-prompts/alternatives.md), [ai-notes markdown twin](/tools/swyxio-ai-notes/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/serenakeyitan-awesome-notebooklm-prompts-vs-swyxio-ai-notes.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-notebookLM-prompts or ai-notes? awesome-notebookLM-prompts: Slowing. ai-notes: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-notebookLM-prompts and ai-notes? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-notebookLM-prompts trust report](/tools/serenakeyitan-awesome-notebooklm-prompts/trust); [ai-notes trust report](/tools/swyxio-ai-notes/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=serenakeyitan-awesome-notebooklm-prompts`](/api/graphcanon/graph?tool=serenakeyitan-awesome-notebooklm-prompts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_