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🤖 NotebookLM Automation Squad

Turn any source into 10 professional content formats — with a single command.

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The Problem

You have incredible sources — papers, videos, documents, reports. But turning them into publishable content is a marathon:

• ⏰ 10+ hours to create a podcast from a paper
• 💸 $500+ for professional voice-over per episode
• 🔄 Repetitive work — copy, paste, reformat, translate
• 😤 Fragmented tools — one for slides, another for quizzes, another for audio

What if you could automate all of it with a single system?

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The Solution

The NotebookLM Automation Squad is a team of 6 specialized AI agents that work together to:

1. Ingest your sources (URLs, PDFs, YouTube videos, Google Drive)
2. Research deeply — not generic summaries, but analysis with citations
3. Generate 10 types of professional content automatically
4. Download everything organized, ready to publish

Your Sources                        Your Content
────────────                        ────────────
📄 Papers          ┌──────────┐     🎙️ Podcasts (50+ languages)
📹 Videos     ───▶ │  SQUAD   │ ──▶ 🎬 Videos
📑 PDFs            │ 6 agents │     📊 Slides (PPTX)
🔗 URLs            │ 35 tasks │     ❓ Quizzes
📝 Notes           └──────────┘     🃏 Flashcards
                                    📄 Reports
                                    🧠 Mind Maps
                                    📈 Infographics
                                    📋 Data Tables
                                    🎥 Cinematic Videos

⏱️ Total time: ~15 minutes. From raw sources to 10 publishable formats.

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🎯 Real Scenarios — The Squad in Action

Each scenario below is real. Inputs → outputs → savings metrics.

🎙️ Podcast Factory: 1 Paper → 5 Languages in 18 min

Who: Content creator publishing weekly on Spotify in 5 languages.

Input: 1 paper + 3 complementary sources

Output:

podcast-s03e12/
├── audio/
│   ├── podcast-pt-BR.mp3     (14min, 13.2MB)
│   ├── podcast-en.mp3        (13min, 12.1MB)
│   ├── podcast-es.mp3        (14min, 13.0MB)
│   ├── podcast-fr.mp3        (13min, 12.4MB)
│   └── podcast-de.mp3        (12min, 11.8MB)
├── infographic.png            (1.4MB)
├── mindmap.json               (18KB)
└── show-notes.md              (3.8KB)

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🎓 Course Builder: Full Module in 22 min

Who: Quantum Computing Professor.

Input: 3 academic PDFs + 1 video

Output: 7 formats — podcast (18min), whiteboard video, 24 PPTX slides, quiz (15 questions), 45 flashcards, mind map, algorithm comparison table

"The professor prepares an entire module — podcast, video, slides, quiz, and 45 flashcards — during the break between classes."

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🕵️ Competitive Intel: 10 Competitors in 35 min

Who: Startup CEO preparing Series A.

Input: 12 sources (competitor blogs + market reports)

Output:

competitive-intel/
├── executive-report.md        (18KB — SWOT, Feature Matrix, Recommendations)
├── competitors.csv            (10 companies × 10 metrics)
├── briefing-en.mp3            (8min — to listen in the car)
├── infographic.png            (2.1MB — landscape)
└── research-notes.md          (9.8KB)

"The CEO walks into the meeting with an executive report, infographic, data table, and an 8-min podcast — generated while having coffee."

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🔄 Content Repurposing: 1 Video → 8 Formats

Who: YouTuber with 500K subscribers.

Input: 1 45-min video + script + 1 complementary source

8 formats. 8 platforms. 25 minutes.

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🔬 Research Lab: 15 Papers → Systematic Review in 40 min

Who: AI Researcher at a top university.

Input: 15 ArXiv papers on RLHF (2022-2026)

Output:

rlhf-review/
├── audio/
│   ├── rlhf-podcast-en.mp3          (28min, 26.1MB)
│   └── rlhf-podcast-pt-BR.mp3       (16min, 14.8MB)
├── slides/
│   └── rlhf-presentation.pptx       (22 slides, 3.4MB)
├── data/
│   └── papers-matrix.csv            (15 papers × 10 metrics)
├── systematic-review.md              (12.4KB)
├── rlhf-taxonomy.png                 (2.3MB)
└── concepts.json                     (28KB)

"Dr. Fernanda processed 15 papers and generated a systematic review with taxonomy, 15×10 table, 2 podcasts, slides, and infographic — in less time than it would take to read the first paper."

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📊 5-Scenario Summary

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✅ Who It's For

• 🎓 Teachers and educators who need varied teaching materials
• 🎙️ Content creators publishing across multiple platforms
• 🔬 Researchers processing large volumes of papers
• 🏢 Product teams needing competitive intelligence
• 📈 Consultants delivering reports and presentations
• 🚀 Founders needing documentation, pitch decks, and analyses

🚫 Who It's NOT For

• ❌ Those without a Google account (NotebookLM is a Google product)
• ❌ Those expecting a GUI with buttons — this runs via AI agents
• ❌ Those wanting to generate spam or misleading content
• ❌ Those not using a compatible coding agent (skill.sh)

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📊 Manual vs. Squad

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📦 What You Get

Total value: $2,470

💰 Your investment: $67

36:1 ratio. Every dollar invested returns $36 in value.

→ I Want My 6 AI Agents for $67

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💬 What People Are Saying

"Replaced 3 paid tools and a part-time assistant. The squad pays for itself in one week." — University professor, Computer Science

"My podcast workflow used to be: record → edit → transcribe → translate → distribute. Now it's: run the squad → publish." — Content creator, 500K+ subscribers

"The competitive intel that took 2 weeks with consulting now comes out in 35 minutes. With more depth." — Startup CEO, pre-Series A

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🛡️ "Works or Money Back" Guarantee — 30 Days

If within 30 days you can't generate automated content with the squad, we refund 100% of the value. No questions, no bureaucracy, no fine print.

Why this guarantee? Because we know it works. The squad was validated with 30 automated checks, tested in 5 real scenarios, and optimized for zero redundancy.

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❓ FAQ

What exactly do I get?

A complete squad of 6 AI agents that automate Google NotebookLM. Includes agents, tasks, workflows, documentation, examples, and installation guide. Compatible with any coding agent supported by skill.sh — Claude Code, Codex, Antigravity, Gemini CLI, and more.

Do I need to know how to code?

No. The squad runs inside your preferred coding agent. You describe what you want and the agents do the rest. The documentation guides every step.

Which operating systems are supported?

macOS, Linux, and Windows. Compatible with any coding agent supported by skill.sh — including Claude Code, Codex, Antigravity, Gemini CLI, and more.

Do I need to pay anything beyond $67?

No. Google NotebookLM is free. The squad uses your existing Google account. No paid APIs, no monthly subscriptions.

What if Google changes something in NotebookLM?

Lifetime updates are included. When NotebookLM changes, the squad is updated to maintain compatibility.

How long does setup take?

~5 minutes. Quick installation + a login with your Google account. The documentation guides every step.

Can I use it for commercial purposes?

Yes. MIT License. Use it for your projects, clients, courses — no restrictions.

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Stop Doing Manual Work That a Machine Does Better

While you're reading this, someone is spending 10 hours manually doing what the squad delivers in 18 minutes.

Every week without automating, you lose:

• ⏰ 10-48 hours of manual work
• 💸 $400-$2,000 in contractor costs
• 🧠 Mental energy that should go to creative work

$67 is less than one hour of consulting. The squad saves hundreds of hours per year.

→ Get Started Now — $67

One-time payment · Lifetime access · 30-day guarantee · Updates included

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📄 License

MIT — © 2026 Luiz Gustavo Vieira Rodrigues (@gutomec)

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