Gemini 2.5 Pro + Cursor is INSANE…

Key Concepts

Gemini 2.5 Pro, Cursor, AI Studio, Netlify, Keyword Research Tool, SEO, Alex Hormozi, Funnels, Visual Studio Code, Rode, API Integration, Chat GPT API, SAS Tools, OpenAI API, UI/UX Design, Claude 3.7 Sonic, MCP Servers, Client (Visual Studio Code Extension), OpenRouter, Perplexity API, AI Agents, GitHub, Google Drive, Google Maps, Slack, N8N, Spotify API, Brave Search, Airbnb.

Tetris Game Creation and Gemini 2.5 Pro Overview

The video begins by showcasing a Tetris game built with Gemini 2.5 Pro in a single click using Cursor. The presenter claims Gemini Pro is superior to Claude 3.7 Sonic, especially because AI Studio offers a free API for coding.

Example: The Tetris game serves as a practical demonstration of Gemini Pro's capabilities.
Process: Download Cursor, input "create a Tetris game," and Cursor generates the code, including HTML.
Technical Detail: Gemini 2.5 Pro experimental is selected within Cursor.
Hosting: Netlify is used to host the game by importing the project folder.

Keyword Research Tool Development

The video then transitions to building a keyword research tool for SEO using Gemini 2.5 Pro.

Prompt: "Create a really sleek and interesting keyword research tool for SEO...promote these links with Alex Hormozi style sales copy."
Comparison: The presenter compares Cursor with Visual Studio Code using Rode, highlighting Cursor's efficiency. Rode hits API request limits quickly.
Issue: The standard Gemini API has request limits, making it difficult to use extensively.
Advantage of Cursor: Cursor generates the HTML and a functional page from a single prompt, unlike Rode, which requires more manual steps.
Mock Data: The AI acknowledges the data is mock, preventing user deception.

API Integration and UI/UX Enhancement

The next step involves integrating the Chat GPT API into the keyword research tool.

Prompt: "Create the back end API integration with Chat GPT API plus make the design more modern interesting and sleek."
Process: Cursor codes the API integration, allowing users to input their own API key.
Security Note: The AI warns about the security implications of a front-end-only approach.
Cost Comparison: Cursor Pro is $20/month, offering better results and time savings compared to the free but more time-consuming Rode.
Functionality: The tool is designed to allow users to insert their own API key, enabling the creation of SAS tools.
Example: The presenter uses an OpenAI API key to test the tool.
UI/UX Iteration: The presenter iteratively refines the UI/UX through prompts, aiming for a "beautiful SAS" feel.
Prompt Examples:
- "Make the UI cleaner more modern and better design."
- "Make the design has to be more beautiful Sleek interesting and modern right now the page background is just white and it doesn't feel modern at all."
- "Add like animations relevant SEO icons make the page fun interesting Pretend This is a 100 million St it has to impress."
Evolution: The UI evolves from a "pretty nasty" initial version to a more functional and visually appealing design.
Functionality: The final version includes keyword phase, estimated volume, difficulty, CPC, and intent (commercial, navigational, informational).

Deployment and Community

The final version of the keyword research tool is deployed using Netlify.

Process: The files are copied to a new folder, and the folder is imported into Netlify.
Outcome: The tool is hosted on a Netlify subdomain.
Community Promotion: The presenter promotes the AI Profit Boardroom, offering access to workflows, tips, saps, templates, and a community.
Pricing: Prices are set to increase at the end of March.
Additional Offer: A free SEO strategy session is offered.

Q&A and Additional Tips

The presenter answers questions from the audience.

Tool Preference: Cursor is preferred over Client for Gemini 2.5 Pro.
MCP Servers: The presenter transitions to explaining how to build MCP servers using Gemini 2.5 Pro.

MCP Servers with Gemini 2.5 Pro

The presenter explains how to build MCP (Modular Component Protocol) servers using Gemini 2.5 Pro.

Benefit of Gemini AI Studio: It allows building MCP servers and coding apps/games for free.
Process:
1. Download Visual Studio Code.
2. Get an API key from AI Studio.
3. Use Client (a Visual Studio Code extension) for easier MCP server creation.
Comparison: Client is easier to use than Cursor for setting up MCP servers.
MCP Server Explanation: MCP servers are the future of AI agents, allowing them to connect to the internet and access various functionalities without setting up individual tools.
Example: An AI agent linked to a GMO MCP can access all its functionalities directly.
Installation: MCP servers can be installed from a marketplace within Client.
OpenRouter: OpenRouter can be used to get an API key.
Process (Simplified):
1. Open a new folder in Rode.
2. Select Gemini Pro experimental.
3. Install the desired MCP from the marketplace (e.g., Perplexity Research).
4. Provide the API key.
Functionality: MCP servers allow access to features like searching, getting documentation, and finding API keys.
GitHub Resource: A GitHub repository lists available MCP servers (Google Drive, Google Maps, Slack, etc.).
Troubleshooting: The presenter shares troubleshooting tips based on his messy experience, recommending starting with a new folder if previous installations caused issues.
Example: The presenter demonstrates setting up Perplexity Research MCP, allowing the AI to search for AI news.
Other MCPs: The presenter mentions other MCPs like Brave Search, Airbnb, Google Calendar, Discord, and Spotify.
Spotify Setup: Spotify API credentials can be obtained from the developer dashboard.

Conclusion

The video concludes by reiterating the benefits of the AI Profit Boardroom and the free SEO strategy session. The presenter emphasizes the ease of setting up MCP servers with Gemini 2.5 Pro and Client, despite potential initial challenges. The key takeaway is that Gemini 2.5 Pro, combined with tools like Cursor and Client, significantly streamlines AI-assisted development and automation.