Summary of "This Perplexity + NotebookLM Workflow Is Insane!"

Summary of Technological Concepts, Product Features, and Workflow Analysis

Overview of the Workflow

The video presents a powerful AI research workflow combining Perplexity AI and Notebook LM. This workflow enables faster research, better insights, and the ability to create finished products such as blog posts, presentations, and reports directly from research data.

Perplexity AI Features

Performs real-time web searches pulling data from multiple sources.
Provides inline citations for easy fact-checking.
Includes a “deeper research” mode for comprehensive, multi-layered queries.
Offers source filtering options (web, academic, social) to tailor the research scope.
Generates raw, factual research reports but lacks strong tools for organizing, analyzing, or creating polished outputs.
Features a Labs option (paid plan) to generate presentations or slide decks directly from research, though results are basic and text-heavy.

Notebook LM Features

Free tool accessible at notebooklm.google.com.
Allows users to create notebooks by importing selected web links and sources.
AI chatbot trained exclusively on user-provided data, ensuring focused and relevant responses.
Can ingest multiple links including websites and YouTube videos.
Handles failed source imports with easy cleanup.
Provides a chat interface for interacting with the curated research.
Includes a Studio section enabling generation of content such as slide decks, reports, and data tables.
Slide decks can be customized (detailed vs. presenter slides) with rich visuals including AI-generated images, graphs, and maps, producing professional-quality presentations.
Generates synthesized, well-organized reports and data tables from raw research data.

Workflow Demonstration

Start with Perplexity AI to gather and vet research sources.
Select relevant and reputable sources, then import those links into Notebook LM.
Use Notebook LM to analyze, chat with, and create polished outputs like presentations and reports.

Example: Comparing the environmental impact of electric cars versus traditional cars. The comparison shows Notebook LM produces far superior slide decks with visuals compared to Perplexity’s basic text slides.

Additional Example

Using Comet Browser (developed by Perplexity) with its AI agent for autonomous competitor research on YouTube channels.
The agent autonomously browses, analyzes top-performing videos, and generates a report.
The report is copied into Notebook LM to create data tables, reports, and strategic plans.
This highlights how Perplexity excels at raw data gathering while Notebook LM excels at synthesis and output creation.

Sponsor: IT 10X Platform

An all-in-one AI platform offering access to multiple top AI models (GPT 5.2, Gemini 3 Pro, Claude Sonnet, etc.).
Features include:
- Multi-model chatbot.
- Deep research powered by Perplexity Sonar Pro.
- AI image and video generation.
- Customizable AI agents with system prompts for repeated tasks.
- Community-created agents for various functions (e.g., image editing, watermark removal).
- Ability to create custom chatbots trained on user data via URL uploads.
Pricing starts at $8/month annually or $10 month-to-month.

Key Takeaways

Perplexity AI is best for raw, comprehensive research with verifiable sources.
Notebook LM is ideal for organizing, analyzing, and creating polished deliverables from that research.
The combined workflow maximizes efficiency and output quality.
Additional tools like Comet Browser and IT 10X expand research and AI capabilities further.