Cursor Replaces Your Entire Business Stack (Full Demo)

Key Concepts

• Vibe Coding: Using AI tools and LLMs to automate tasks and workflows, often in a creative and intuitive way.
• Cursor: An AI-powered code editor that can be used as an interface for various tasks beyond coding, including finance, analytics, design, and marketing.
• MCP (Model Context Protocol): An interface, similar to an API, that allows LLMs to interact with third-party services and apps, enabling seamless data access, creation, and transformation.
• Agentic Workflows: Automating tasks by using AI agents that can perform specific actions, such as scraping data, taking screenshots, or making changes to code.
• Thinking Models vs. Agentic Models: Differentiating between LLMs that are good at complex reasoning (e.g., GPT-4, Gemini) and those that are better at executing actions (e.g., Sonnet, Opus).
• Firecrawl, Perplexity, Exa: Tools used for web scraping, deep research, and accessing datasets, respectively.
• Mermaid Diagrams: Visual diagrams used to represent data flows and system architecture, providing context for AI agents.
• Custom Modes (in Cursor): Specialized agents within Cursor that can be customized with specific models, prompts, and tools for particular tasks.

Finance Automation with Cursor

• Problem: Traditionally, accessing and updating financial data requires multiple steps and clicks within accounting software like Zero.
• Solution: Connect to the Zero MCP within Cursor to directly access and manipulate financial data using natural language commands.
• Example: "Connect to Zero MCP and list out my profit report for May 2024."
• Functionality:
  • Pull profit and loss reports.
  • Update accounting software.
  • Create payroll reports, quotes, and invoices.
• Benefit: Saves time and reduces the number of steps required to perform financial tasks.
• Real-world Application: Accountants can use this to quickly generate tax reports and manage client invoices.
• Quote: "How do you turn SaaS into programmable?" - Host, highlighting the core value proposition.
• Example: Creating a quote for UX services for ABC Furniture with a single line of text, which would normally take many steps.
• Benefit: Programmatic access to SaaS tools, leading to increased accuracy and productivity.
• Example: Generating a finance report with bank accounts, revenue, and costs, and deploying it to a server like Nifi for team access.

Startup Idea Generation with AI

• Platform: ideabrowser.com, a service that provides daily startup ideas based on data trends.
• Methodology: Uses AI agents to identify unmet needs and trending searches.
• Functionality:
  • Free daily startup ideas.
  • Paid plans with more ideas and AI agents.
  • "Chat GPT for ideas" functionality.
• Relevance: Addresses Sam Altman's point that it's the "era of the idea guy."

UX Analysis and Improvement with AI Agents

• Tools: Playwright MCP (or alternatives like Firecrawl and Browserbase) for agentic browsing.
• Process:
  1. Use Playwright MCP to take a screenshot of a landing page (e.g., homolytics.com).
  2. Use a custom mode in Cursor focused on design and growth to analyze the screenshot.
  3. Prompt the agent to provide UX growth suggestions and AB tests.
• Example: "Use Playwright MCP to go to homolytics.com and take a screenshot."
• Model Selection: Use thinking models (e.g., GPT-4) for planning and reasoning, then switch to agentic models (e.g., Sonnet) for execution.
• Benefits:
  • Instant access to website traffic data and screenshots.
  • Comprehensive UX reviews with actionable recommendations.
  • Ability to directly implement changes to the code based on the feedback.
• Example: The AI agent suggested adding social proof and video testimonials above the fold on the Humbolytics landing page.
• Integration: Referencing the Humbolytics MCP to get summary insights and inform design decisions.
• Quote: "LLMs are the new browser." - Host, emphasizing the shift towards LLMs as the primary interface.

Sales and Marketing Automation

• Tool: Firecrawl for scraping content and creating context files.
• Context Files: Comprehensive text files containing information about a product, its pricing, and its ICP (Ideal Customer Profile).
• Process:
  1. Use Firecrawl to scrape content from a website (e.g., humbolytics.com) and generate an LLM.txt file.
  2. Use the LLM.txt file and keyword data as context for content creation.
  3. Use the Perplexity MCP to research a topic and generate an article with keyword optimization.
• Example: "Use Perplexity MCP to research top split testing tools and refer to Humbolytics context file and the keyword data to generate an article."
• Benefit: Reduces hallucination in generated content by cross-referencing scraped data.
• Custom Modes: Creating specialized agents within Cursor with specific prompts and tools for content creation.
• Example: A custom mode for generating comprehensive product requirement documentation (PRDs).
• Mermaid Diagrams: Using mermaid diagrams to visualize data flows and system architecture, providing context for AI agents.
• Example: Creating a mermaid diagram for a job board to map out the flow between an employer posting a job and an admin reviewing it.
• Quote: "You're the architect, you're guiding it." - Amir, emphasizing the role of the user in vibe coding.

QA Automation

• Process:
  1. Create a test plan.
  2. Use Playwright MCP (or Browserbase) to follow the test plan and perform actions in a browser.
• Example: "Go to humbolytics.com using Playwright MCP and click on login."
• Benefit: Complete automated QA testing as part of the development process.
• Example: The AI agent successfully navigated to the Humbolytics website, clicked the login button, and filled in an example email, even passing the CAPTCHA.

Overcoming Overwhelm and Getting Started

• Challenge: Cursor can be overwhelming for non-technical users.
• Recommendation: Start by building a simple app in Cursor to understand the interface and terminal commands.
• Alternative: If coding is not desired, focus on using Cursor to interact with files and install MCPs to automate specific tasks.
• Starting Point: Identify a task or outcome to achieve (e.g., getting a list of invoices) and work backward to find the necessary tools and MCPs.

Synthesis/Conclusion

The video demonstrates how Cursor, combined with MCPs and AI agents, can be used to automate a wide range of tasks across finance, marketing, design, and QA. By leveraging these tools, individuals and businesses can significantly improve their productivity, accuracy, and efficiency. The key is to understand the different types of AI models, choose the right tools for the job, and create custom workflows that fit specific needs. While Cursor can be overwhelming at first, starting with simple tasks and gradually exploring its capabilities can unlock its full potential. The future of work is moving towards LLMs as the primary interface, and Cursor provides a glimpse into that future.