I Tested Google’s Hidden AI Tools. These are the Best

Google AI Tools: A Deep Dive into Gemini, AI Studio, Opal, Stitch, and NotebookLM

Key Concepts:

• Gemini 3: Google’s latest AI model, powering many of its tools.
• AI Studio: A no-code/low-code platform for building applications and internal tools.
• Opal: A no-code workflow builder within Google Labs, utilizing both prompting and node-based interfaces.
• Stitch: A tool for generating UI designs from prompts, exportable to code or AI Studio.
• NotebookLM: An AI-powered research and learning tool that utilizes uploaded documents and web sources with citation support.
• Google Labs: A suite of experimental AI tools.
• LLM (Large Language Model): A type of AI model trained on massive datasets of text, capable of generating human-like text.
• Hallucinations (in AI): Instances where an AI model generates incorrect or nonsensical information.
• Agents (AI): Autonomous entities powered by AI, capable of performing tasks and automating processes.
• JSON (JavaScript Object Notation): A standard text-based format for representing structured data.

I. Introduction & Overview of Google’s AI Ecosystem

Google has rapidly expanded its AI offerings beyond headline tools like Gemini 3, Nano Banana, and VO, developing a suite of free, powerful tools for various applications including vibe coding, automation, learning, and marketing. These tools are designed to be accessible and can significantly enhance productivity. The speaker emphasizes the potential of these tools for both personal and professional use.

II. AI Studio: No-Code/Low-Code Application Development

AI Studio (aistudio.google.com) is presented as an easy entry point into AI-powered development. It allows users to build applications and internal tools with minimal or no coding experience.

• YouTube Comment Analysis Example: The speaker demonstrates building a “YouTube Insight Pro” tool in approximately 30 seconds. This tool takes a YouTube URL as input, fetches comments, and displays overall sentiment, top questions, and critical feedback. The initial run yielded an 85% positive sentiment score, identified questions about installation, API keys, and costs, and provided constructive criticism regarding the “no-code” claim and interface design.
• Iterative Improvement: The speaker showcases the iterative nature of AI Studio by modifying the sentiment display to use emojis instead of a meter, demonstrating the ease of making changes through simple prompts.
• Prompt-Based Workflow: The process involves describing the desired functionality in natural language, and AI Studio generates the application.
• Deployment & Cost: Applications can be deployed using a Google Cloud account with a free plan offering $300 in credits. The speaker notes this is sufficient for internal tools but larger-scale applications would require a paid plan.
• Integration Capabilities: AI Studio can integrate with various Google ecosystem services like Maps, data analysis, video/voice input, and image generation.
• Prompt Example: "Build a dashboard for analyzing YouTube comments. Include an input field for the YouTube URL. When a URL is entered, the app should fetch the comments from that video and display overall sentiment, the top questions, and critical feedback."

III. Opal: No-Code Workflow Automation (Google Labs)

Opal, part of Google Labs, is a no-code workflow builder offering two approaches: prompt-based generation of entire workflows or a node-based interface for granular control.

• Research Paper Summarization Example: The speaker builds a workflow to scrape the top five trending AI/ML research papers from a Hugging Face page, summarize their abstracts, and identify their potential impact on AI usage – all from a single prompt.
• Node-Based Editing: The workflow is visualized as a series of nodes, each representing a step. Users can edit individual nodes, correct errors (like missing URLs), and refine prompts.
• Gemini Integration: Opal integrates with the paid version of Gemini, allowing access to Opal-based “gems” directly within the Gemini interface.
• Prompt Example: "They scrape the top five trending papers from this URL, then summarize the abstract in simple language and tell me one way this new tech will change how people use AI in one sentence."

IV. Stitch: Prompt-to-UI Design

Stitch, also within Google Labs, transforms prompts into UI designs for web and mobile applications.

• Future Fuel Energy Drink Website Example: The speaker demonstrates creating a website design for a new energy drink line, “Future Fuel,” using the prompt “create a site to sell my AI enhanced energy drink, Future Fuel.” Stitch generated a complete design with color schemes, fonts, and product names.
• Theme Variations: Stitch allows for quick generation of design variations based on different themes (e.g., red, purple, yellow).
• Code Export & AI Studio Integration: The generated designs can be exported as code or directly imported into AI Studio for further development.
• Inspiration from Existing Designs: Stitch can also generate designs based on uploaded screenshots of existing applications. The speaker used a Zillow screenshot to create a Mars real estate listing website.
• Prompt Example: "create a site to sell my AI enhanced energy drink, Future Fuel."

V. NotebookLM: AI-Powered Research & Learning

NotebookLM is highlighted as the speaker’s favorite AI tool, emphasizing its underrated capabilities. It’s a research and learning platform that leverages uploaded documents and web sources with built-in citation support.

• AlphaFold Research Example: The speaker uploads a documentary and a Veritasium video about AlphaFold, Google DeepMind’s protein-folding AI, and uses NotebookLM to discover additional research papers.
• Citation Support: NotebookLM automatically provides citations for all information, reducing the risk of hallucinations. Users can click on citations to view the original source and context.
• Multiple Output Formats: NotebookLM can generate various output formats, including flashcards, quizzes, infographics, podcasts, and mind maps.
• Gem Integration: NotebookLM can be used as a knowledge base for custom “gems” within Gemini, allowing for personalized AI assistance. The speaker demonstrates a “YouTube Strategist” gem built on a notebook containing transcripts and analytics from their top 25 videos.
• Key Feature: The ability to use NotebookLM as a source for chat, ensuring responses are grounded in the uploaded content.

VI. Additional Tools & Resources

• Pomelli: A marketing tool that generates editable marketing campaigns based on a website’s “business DNA.” It analyzes a website’s branding, tone, and assets to create social media content.
• Futurepedia AI Courses: A comprehensive platform with over 1,000 lessons across 30 AI courses, offering a 7-day free trial.
• HubSpot Collaboration: The speaker announces a free guide to AI agents, created in partnership with HubSpot, updated for 2026. The guide covers use cases, implementation, and ROI tracking.

VII. Conclusion & Key Takeaways

Google is rapidly innovating in the AI space, offering a diverse range of free and powerful tools beyond its flagship models. AI Studio, Opal, Stitch, and NotebookLM provide accessible pathways for application development, workflow automation, UI design, and research. The speaker encourages viewers to explore these tools and integrate them into their workflows to enhance productivity and unlock new possibilities. The emphasis is on leveraging these tools for internal use and experimentation, with the potential for broader applications as the technology matures.

Notable Quote:

“Google keeps coming out with new tools across every area of AI and integrating them across their entire ecosystem in useful ways.” – Speaker.